ishangarg183 commited on
Commit
09cae30
·
verified ·
1 Parent(s): 2693c5b

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +14 -0
  2. v2-samelayer/assembled_activations/llama32-3b-grpo/features/counterfactual_scores.csv +0 -0
  3. v2-samelayer/assembled_activations/llama32-3b-grpo/features/counterfactual_scores_by_layer.csv +0 -0
  4. v2-samelayer/assembled_activations/llama32-3b-grpo/features/feature_classification.csv +0 -0
  5. v2-samelayer/assembled_activations/llama32-3b-grpo/features/merged_classification.csv +0 -0
  6. v2-samelayer/assembled_activations/llama32-3b-grpo/features/model_layer_stream_patterns.csv +0 -0
  7. v2-samelayer/assembled_activations/llama32-3b-grpo/features/superposition_analysis.json +0 -0
  8. v2-samelayer/assembled_activations/llama32-3b-grpo/metrics/aggregate_metrics.json +388 -0
  9. v2-samelayer/assembled_activations/llama32-3b-grpo/metrics/training_metrics.json +524 -0
  10. v2-samelayer/assembled_activations/llama32-3b-kto/features/counterfactual_scores.csv +0 -0
  11. v2-samelayer/assembled_activations/llama32-3b-kto/features/counterfactual_scores_by_layer.csv +0 -0
  12. v2-samelayer/assembled_activations/llama32-3b-kto/features/feature_classification.csv +0 -0
  13. v2-samelayer/assembled_activations/llama32-3b-kto/features/merged_classification.csv +0 -0
  14. v2-samelayer/assembled_activations/llama32-3b-kto/features/model_layer_stream_patterns.csv +0 -0
  15. v2-samelayer/assembled_activations/llama32-3b-kto/features/superposition_analysis.json +271 -0
  16. v2-samelayer/assembled_activations/llama32-3b-kto/metrics/aggregate_metrics.json +345 -0
  17. v2-samelayer/assembled_activations/llama32-3b-kto/metrics/training_metrics.json +524 -0
  18. v2-samelayer/assembled_activations/llama32-3b-simpo/checkpoints/final.pt +3 -0
  19. v2-samelayer/assembled_activations/llama32-3b-simpo/features/cross_layer_cosine_drift.csv +3 -0
  20. v2-samelayer/assembled_activations/llama32-3b-simpo/features/decoder_layer_profiles.csv +3 -0
  21. v2-samelayer/assembled_activations/llama32-3b-simpo/features/model_layer_stream_patterns.csv +3 -0
  22. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/aligned_decoder_norm_heatmap.png +3 -0
  23. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/base_decoder_norm_heatmap.png +3 -0
  24. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/cf_shift_by_layer.png +3 -0
  25. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/cf_shift_p95_by_layer.png +3 -0
  26. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/class_distribution_multilayer.png +3 -0
  27. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/class_distribution_primary.png +3 -0
  28. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/cross_layer_cosine_drift_by_stream.png +3 -0
  29. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/decoder_norm_ratio_by_layer.png +3 -0
  30. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/feature_layer_trajectories.png +3 -0
  31. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/feature_sharing_ratio_by_layer.png +3 -0
  32. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/fve_by_layer.png +3 -0
  33. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/l0_by_layer.png +3 -0
  34. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/layer_concentration_entropy.png +3 -0
  35. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/loss_curves.png +3 -0
  36. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/max_norm_layer_migration.png +3 -0
  37. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/rho_histogram_by_layer.png +3 -0
  38. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/rho_theta_scatter_by_layer.png +3 -0
  39. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/superposition_by_layer.png +3 -0
  40. v2-samelayer/assembled_activations/llama32-3b-simpo/plots/theta_by_layer.png +3 -0
  41. v2-samelayer/assembled_activations/qwen3-4b-dpo/features/cross_layer_cosine_drift.csv +3 -0
  42. v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/aligned_decoder_norm_heatmap.png +3 -0
  43. v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/base_decoder_norm_heatmap.png +3 -0
  44. v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/cf_shift_by_layer.png +3 -0
  45. v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/cf_shift_p95_by_layer.png +3 -0
  46. v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/class_distribution_multilayer.png +3 -0
  47. v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/class_distribution_primary.png +3 -0
  48. v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/cross_layer_cosine_drift_by_stream.png +3 -0
  49. v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/decoder_norm_ratio_by_layer.png +3 -0
  50. v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/feature_layer_trajectories.png +3 -0
.gitattributes CHANGED
@@ -172,3 +172,17 @@ v2-samelayer/v1/assembled_activations/qwen3-4b-simpo/singlelayer_separate/base_L
172
  v2-samelayer/v1/assembled_activations/llama32-3b-orpo/singlelayer_reduce/L24-26/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
173
  v2-samelayer/v1/assembled_activations/llama32-3b-orpo/singlelayer_separate/base_L12__aligned_L26/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
174
  v2-samelayer/v1/assembled_activations/llama32-3b-orpo/singlelayer_separate/base_L11__aligned_L25/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
172
  v2-samelayer/v1/assembled_activations/llama32-3b-orpo/singlelayer_reduce/L24-26/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
173
  v2-samelayer/v1/assembled_activations/llama32-3b-orpo/singlelayer_separate/base_L12__aligned_L26/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
174
  v2-samelayer/v1/assembled_activations/llama32-3b-orpo/singlelayer_separate/base_L11__aligned_L25/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
175
+ v2-samelayer/v1/assembled_activations/llama32-3b-orpo/singlelayer_separate/base_L10__aligned_L24/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
176
+ v2-samelayer/v1/assembled_activations/smollm3-ppo/singlelayer_separate/base_L18__aligned_L17/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
177
+ v2-samelayer/v1/assembled_activations/smollm3-ppo/singlelayer_separate/base_L20__aligned_L19/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
178
+ v2-samelayer/assembled_activations/llama32-3b-simpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
179
+ v2-samelayer/assembled_activations/llama32-3b-simpo/features/model_layer_stream_patterns.csv filter=lfs diff=lfs merge=lfs -text
180
+ v2-samelayer/assembled_activations/llama32-3b-simpo/features/decoder_layer_profiles.csv filter=lfs diff=lfs merge=lfs -text
181
+ v2-samelayer/assembled_activations/qwen3-4b-kto/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
182
+ v2-samelayer/assembled_activations/qwen3-4b-kto/features/decoder_layer_profiles.csv filter=lfs diff=lfs merge=lfs -text
183
+ v2-samelayer/assembled_activations/smollm3-orpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
184
+ v2-samelayer/assembled_activations/qwen3-4b-orpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
185
+ v2-samelayer/assembled_activations/smollm3-grpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
186
+ v2-samelayer/assembled_activations/qwen3-4b-dpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
187
+ v2-samelayer/assembled_activations/qwen3-4b-grpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
188
+ v2-samelayer/assembled_activations/qwen3-4b-grpo/features/decoder_layer_profiles.csv filter=lfs diff=lfs merge=lfs -text
v2-samelayer/assembled_activations/llama32-3b-grpo/features/counterfactual_scores.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-grpo/features/counterfactual_scores_by_layer.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-grpo/features/feature_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-grpo/features/merged_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-grpo/features/model_layer_stream_patterns.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-grpo/features/superposition_analysis.json ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-grpo/metrics/aggregate_metrics.json ADDED
@@ -0,0 +1,388 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crosscoder_kind": "multilayer_sparc",
3
+ "layers": [
4
+ 12,
5
+ 13,
6
+ 14
7
+ ],
8
+ "topk_mode": "model_balanced_layer_agg",
9
+ "topk": 400,
10
+ "expansion_factor": 8,
11
+ "dict_size": 24576,
12
+ "forced_shared_fraction": 0.06,
13
+ "class_counts": {
14
+ "aligned_only": 6084,
15
+ "shared_redirected": 5805,
16
+ "shared_intermediate": 4922,
17
+ "base_only": 3467,
18
+ "shared_attenuated": 2812,
19
+ "shared_aligned": 1486
20
+ },
21
+ "multilayer_class_counts": {
22
+ "drifting_or_rotating": 12498,
23
+ "persistent_aligned_only": 4582,
24
+ "persistent_base_only": 2198,
25
+ "persistent_shared": 2170,
26
+ "localized_aligned_only": 1502,
27
+ "localized_base_only": 1269,
28
+ "mixed_or_ambiguous": 357
29
+ },
30
+ "classification_thresholds": {
31
+ "rho_base_only": 0.4,
32
+ "rho_aligned_only": 0.5552206029447704,
33
+ "rho_shared_low": 0.44024917884104786,
34
+ "rho_shared_high": 0.5552206029447704
35
+ },
36
+ "threshold_sensitivity": {
37
+ "original": {
38
+ "aligned_only": 6084,
39
+ "shared_redirected": 5805,
40
+ "shared_intermediate": 4922,
41
+ "base_only": 3467,
42
+ "shared_attenuated": 2812,
43
+ "shared_aligned": 1486
44
+ },
45
+ "perturbed": {
46
+ "delta_-0.05": {
47
+ "base_only": 878,
48
+ "aligned_only": 2725,
49
+ "shared_aligned": 1499,
50
+ "shared_redirected": 9722,
51
+ "shared_intermediate": 7743,
52
+ "shared_attenuated": 2009,
53
+ "other": 0
54
+ },
55
+ "delta_+0.05": {
56
+ "base_only": 7128,
57
+ "aligned_only": 10726,
58
+ "shared_aligned": 1475,
59
+ "shared_redirected": 771,
60
+ "shared_intermediate": 646,
61
+ "shared_attenuated": 3830,
62
+ "other": 0
63
+ }
64
+ },
65
+ "perturbation": 0.05
66
+ },
67
+ "class_counts_by_layer": {
68
+ "12": {
69
+ "shared_redirected": 8317,
70
+ "shared_intermediate": 6544,
71
+ "base_only": 4585,
72
+ "shared_aligned": 2822,
73
+ "aligned_only": 2308
74
+ },
75
+ "13": {
76
+ "shared_redirected": 9393,
77
+ "shared_intermediate": 8081,
78
+ "base_only": 3041,
79
+ "shared_aligned": 2669,
80
+ "aligned_only": 1392
81
+ },
82
+ "14": {
83
+ "shared_redirected": 9247,
84
+ "base_only": 4609,
85
+ "shared_intermediate": 4229,
86
+ "aligned_only": 2292,
87
+ "shared_aligned": 2107,
88
+ "shared_attenuated": 2092
89
+ }
90
+ },
91
+ "feature_sharing_ratio_by_layer": {
92
+ "12": 0.7195231119791666,
93
+ "13": 0.8196207682291666,
94
+ "14": 0.7191975911458334
95
+ },
96
+ "decoder_amplification_by_layer": {
97
+ "12": {
98
+ "median": 0.9999999814920351,
99
+ "p95": 4.761198471404814
100
+ },
101
+ "13": {
102
+ "median": 0.9999999845770899,
103
+ "p95": 2.7799582920911448
104
+ },
105
+ "14": {
106
+ "median": 0.9999999870003597,
107
+ "p95": 1.9990551070509737
108
+ }
109
+ },
110
+ "classification_thresholds_by_layer": {
111
+ "12": {
112
+ "rho_base_only": 0.3232246755639113,
113
+ "rho_aligned_only": 0.7496195037077811,
114
+ "rho_shared_low": 0.3232246755639113,
115
+ "rho_shared_high": 0.7496195037077811
116
+ },
117
+ "13": {
118
+ "rho_base_only": 0.33013993411090486,
119
+ "rho_aligned_only": 0.7235388298969397,
120
+ "rho_shared_low": 0.33013993411090486,
121
+ "rho_shared_high": 0.7235388298969397
122
+ },
123
+ "14": {
124
+ "rho_base_only": 0.4,
125
+ "rho_aligned_only": 0.6325617662750056,
126
+ "rho_shared_low": 0.43268800458718787,
127
+ "rho_shared_high": 0.6325617662750056
128
+ }
129
+ },
130
+ "threshold_sensitivity_by_layer": {
131
+ "12": {
132
+ "original": {
133
+ "shared_redirected": 8317,
134
+ "shared_intermediate": 6544,
135
+ "base_only": 4585,
136
+ "shared_aligned": 2822,
137
+ "aligned_only": 2308
138
+ },
139
+ "perturbed": {
140
+ "delta_-0.05": {
141
+ "base_only": 3098,
142
+ "aligned_only": 1560,
143
+ "shared_aligned": 3403,
144
+ "shared_redirected": 9201,
145
+ "shared_intermediate": 7314,
146
+ "shared_attenuated": 0,
147
+ "other": 0
148
+ },
149
+ "delta_+0.05": {
150
+ "base_only": 6526,
151
+ "aligned_only": 3453,
152
+ "shared_aligned": 2068,
153
+ "shared_redirected": 7069,
154
+ "shared_intermediate": 5460,
155
+ "shared_attenuated": 0,
156
+ "other": 0
157
+ }
158
+ },
159
+ "perturbation": 0.05
160
+ },
161
+ "13": {
162
+ "original": {
163
+ "shared_redirected": 9393,
164
+ "shared_intermediate": 8081,
165
+ "base_only": 3041,
166
+ "shared_aligned": 2669,
167
+ "aligned_only": 1392
168
+ },
169
+ "perturbed": {
170
+ "delta_-0.05": {
171
+ "base_only": 1800,
172
+ "aligned_only": 845,
173
+ "shared_aligned": 3022,
174
+ "shared_redirected": 10094,
175
+ "shared_intermediate": 8815,
176
+ "shared_attenuated": 0,
177
+ "other": 0
178
+ },
179
+ "delta_+0.05": {
180
+ "base_only": 5121,
181
+ "aligned_only": 2474,
182
+ "shared_aligned": 2031,
183
+ "shared_redirected": 8218,
184
+ "shared_intermediate": 6732,
185
+ "shared_attenuated": 0,
186
+ "other": 0
187
+ }
188
+ },
189
+ "perturbation": 0.05
190
+ },
191
+ "14": {
192
+ "original": {
193
+ "shared_redirected": 9247,
194
+ "base_only": 4609,
195
+ "shared_intermediate": 4229,
196
+ "aligned_only": 2292,
197
+ "shared_aligned": 2107,
198
+ "shared_attenuated": 2092
199
+ },
200
+ "perturbed": {
201
+ "delta_-0.05": {
202
+ "base_only": 2008,
203
+ "aligned_only": 921,
204
+ "shared_aligned": 2965,
205
+ "shared_redirected": 11424,
206
+ "shared_intermediate": 5725,
207
+ "shared_attenuated": 1533,
208
+ "other": 0
209
+ },
210
+ "delta_+0.05": {
211
+ "base_only": 7950,
212
+ "aligned_only": 5052,
213
+ "shared_aligned": 1379,
214
+ "shared_redirected": 5406,
215
+ "shared_intermediate": 2165,
216
+ "shared_attenuated": 2624,
217
+ "other": 0
218
+ }
219
+ },
220
+ "perturbation": 0.05
221
+ }
222
+ },
223
+ "counterfactual_shift_by_layer": {
224
+ "12": {
225
+ "aligned_only": {
226
+ "mean_shift": 2.2766621525107953e-06,
227
+ "median_shift": 0.0,
228
+ "p95_abs_shift": 0.0,
229
+ "count": 6084
230
+ },
231
+ "base_only": {
232
+ "mean_shift": -2.568851394574549e-06,
233
+ "median_shift": 0.0,
234
+ "p95_abs_shift": 0.0,
235
+ "count": 3467
236
+ },
237
+ "shared_aligned": {
238
+ "mean_shift": 0.00018095357842273262,
239
+ "median_shift": 0.0,
240
+ "p95_abs_shift": 0.09195232205092907,
241
+ "count": 1486
242
+ },
243
+ "shared_attenuated": {
244
+ "mean_shift": -1.0541640883041274e-07,
245
+ "median_shift": 0.0,
246
+ "p95_abs_shift": 0.0,
247
+ "count": 2812
248
+ },
249
+ "shared_intermediate": {
250
+ "mean_shift": 2.315150216625542e-08,
251
+ "median_shift": 0.0,
252
+ "p95_abs_shift": 0.0,
253
+ "count": 4922
254
+ },
255
+ "shared_redirected": {
256
+ "mean_shift": -1.3746285198566602e-07,
257
+ "median_shift": 0.0,
258
+ "p95_abs_shift": 0.0,
259
+ "count": 5805
260
+ }
261
+ },
262
+ "13": {
263
+ "aligned_only": {
264
+ "mean_shift": 7.409373586140498e-06,
265
+ "median_shift": 0.0,
266
+ "p95_abs_shift": 0.0,
267
+ "count": 6084
268
+ },
269
+ "base_only": {
270
+ "mean_shift": -1.1053492490492892e-05,
271
+ "median_shift": 0.0,
272
+ "p95_abs_shift": 0.0,
273
+ "count": 3467
274
+ },
275
+ "shared_aligned": {
276
+ "mean_shift": 0.00019484710632688615,
277
+ "median_shift": 0.0,
278
+ "p95_abs_shift": 0.09973335079848766,
279
+ "count": 1486
280
+ },
281
+ "shared_attenuated": {
282
+ "mean_shift": -1.985480392448661e-06,
283
+ "median_shift": 0.0,
284
+ "p95_abs_shift": 0.0,
285
+ "count": 2812
286
+ },
287
+ "shared_intermediate": {
288
+ "mean_shift": 3.9290498327251884e-08,
289
+ "median_shift": 0.0,
290
+ "p95_abs_shift": 0.0,
291
+ "count": 4922
292
+ },
293
+ "shared_redirected": {
294
+ "mean_shift": -1.7551452070176433e-07,
295
+ "median_shift": 0.0,
296
+ "p95_abs_shift": 0.0,
297
+ "count": 5805
298
+ }
299
+ },
300
+ "14": {
301
+ "aligned_only": {
302
+ "mean_shift": 3.364509558595365e-05,
303
+ "median_shift": 0.0,
304
+ "p95_abs_shift": 0.0,
305
+ "count": 6084
306
+ },
307
+ "base_only": {
308
+ "mean_shift": -3.5504677135829413e-05,
309
+ "median_shift": 0.0,
310
+ "p95_abs_shift": 0.0,
311
+ "count": 3467
312
+ },
313
+ "shared_aligned": {
314
+ "mean_shift": 0.0003855111859048331,
315
+ "median_shift": 0.0,
316
+ "p95_abs_shift": 0.11618590541183949,
317
+ "count": 1486
318
+ },
319
+ "shared_attenuated": {
320
+ "mean_shift": -9.63817584883231e-06,
321
+ "median_shift": 0.0,
322
+ "p95_abs_shift": 0.0,
323
+ "count": 2812
324
+ },
325
+ "shared_intermediate": {
326
+ "mean_shift": 2.184999210256547e-07,
327
+ "median_shift": 0.0,
328
+ "p95_abs_shift": 0.0,
329
+ "count": 4922
330
+ },
331
+ "shared_redirected": {
332
+ "mean_shift": 4.39443286374644e-07,
333
+ "median_shift": 0.0,
334
+ "p95_abs_shift": 0.0,
335
+ "count": 5805
336
+ }
337
+ }
338
+ },
339
+ "total_features": 24576,
340
+ "fve_base": 0.6947082683678073,
341
+ "fve_aligned": 0.6870226214069346,
342
+ "fve_base_by_layer": [
343
+ 0.6774334142969541,
344
+ 0.6886444531810221,
345
+ 0.7180468839500587
346
+ ],
347
+ "fve_aligned_by_layer": [
348
+ 0.6701876355715447,
349
+ 0.6808480033699754,
350
+ 0.7100321675470362
351
+ ],
352
+ "val_fve_base_by_layer": [
353
+ 0.6774334142969541,
354
+ 0.6886444531810221,
355
+ 0.7180468839500587
356
+ ],
357
+ "val_fve_aligned_by_layer": [
358
+ 0.6701876355715447,
359
+ 0.6808480033699754,
360
+ 0.7100321675470362
361
+ ],
362
+ "dead_neuron_fraction": 0.9609958831845009,
363
+ "l0_sparsity_base": 77.30068727438727,
364
+ "l0_sparsity_aligned": 76.21462362437518,
365
+ "l0_base_by_layer": [
366
+ 65.64209354932866,
367
+ 76.70472124927029,
368
+ 89.5552393461763
369
+ ],
370
+ "l0_aligned_by_layer": [
371
+ 64.81115002918855,
372
+ 75.33169147694105,
373
+ 88.50102159953299
374
+ ],
375
+ "val_l0_base": 78.84989721487953,
376
+ "val_l0_aligned": 77.61215010238567,
377
+ "val_l0_base_by_layer": [
378
+ 66.79128493064361,
379
+ 78.28724914071448,
380
+ 91.47114966427469
381
+ ],
382
+ "val_l0_aligned_by_layer": [
383
+ 65.80791884816755,
384
+ 76.6645397166307,
385
+ 90.36398343390819
386
+ ],
387
+ "superposition_fraction": 0.0
388
+ }
v2-samelayer/assembled_activations/llama32-3b-grpo/metrics/training_metrics.json ADDED
@@ -0,0 +1,524 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epochs": [
3
+ 1,
4
+ 2,
5
+ 3,
6
+ 4,
7
+ 5,
8
+ 6,
9
+ 7,
10
+ 8
11
+ ],
12
+ "train_loss": [
13
+ 0.07674359122668521,
14
+ 0.04322117879786689,
15
+ 0.041181389142373674,
16
+ 0.040074929835299825,
17
+ 0.0392595374999134,
18
+ 0.03860885386235068,
19
+ 0.038139252809800045,
20
+ 0.03787409050974036
21
+ ],
22
+ "val_loss": [
23
+ 0.045276696184230726,
24
+ 0.042513850998347966,
25
+ 0.04139913450829021,
26
+ 0.04075757585738966,
27
+ 0.04028706457368366,
28
+ 0.0400088208079026,
29
+ 0.039891897734859225,
30
+ 0.03987071945951247
31
+ ],
32
+ "train_fve_base": [
33
+ 0.5218191150209165,
34
+ 0.6581393129562538,
35
+ 0.6788746238589913,
36
+ 0.6907193261979967,
37
+ 0.6996899498740763,
38
+ 0.7067874284146894,
39
+ 0.7117742059248898,
40
+ 0.7144628610794682
41
+ ],
42
+ "train_fve_aligned": [
43
+ 0.5172356182036669,
44
+ 0.6521651021444651,
45
+ 0.6710452417915354,
46
+ 0.6816653398067298,
47
+ 0.6897432762005145,
48
+ 0.6963027055612866,
49
+ 0.7009537841100408,
50
+ 0.7034451776753374
51
+ ],
52
+ "val_fve_base": [
53
+ 0.6393531760620197,
54
+ 0.6663743301211852,
55
+ 0.6773919553656853,
56
+ 0.6840992772766433,
57
+ 0.6891960114708746,
58
+ 0.6927146209472137,
59
+ 0.6943349950600669,
60
+ 0.6947082683678073
61
+ ],
62
+ "val_fve_aligned": [
63
+ 0.634585750664716,
64
+ 0.660018102348787,
65
+ 0.6706369740800707,
66
+ 0.6769087074314737,
67
+ 0.68184863584828,
68
+ 0.6851667025326434,
69
+ 0.6866701738372523,
70
+ 0.6870226214069346
71
+ ],
72
+ "val_fve_base_by_layer": [
73
+ [
74
+ 0.6272152599863982,
75
+ 0.6332998275756836,
76
+ 0.6575443794590017
77
+ ],
78
+ [
79
+ 0.6521256428738539,
80
+ 0.6600078350586417,
81
+ 0.686989458755673
82
+ ],
83
+ [
84
+ 0.6621782736004335,
85
+ 0.6711501657026601,
86
+ 0.6988473628203906
87
+ ],
88
+ [
89
+ 0.6676703444950244,
90
+ 0.6779192161809712,
91
+ 0.7067082190388785
92
+ ],
93
+ [
94
+ 0.6722474247997344,
95
+ 0.6831871764198023,
96
+ 0.7121533692195153
97
+ ],
98
+ [
99
+ 0.6756168560207826,
100
+ 0.6865271073985474,
101
+ 0.7159998494917186
102
+ ],
103
+ [
104
+ 0.6770371470151771,
105
+ 0.6882066729805232,
106
+ 0.7177611193107685
107
+ ],
108
+ [
109
+ 0.6774334142969541,
110
+ 0.6886444531810221,
111
+ 0.7180468839500587
112
+ ]
113
+ ],
114
+ "val_fve_aligned_by_layer": [
115
+ [
116
+ 0.6233792255062083,
117
+ 0.6277059453944261,
118
+ 0.6526720202406039
119
+ ],
120
+ [
121
+ 0.6468782418685434,
122
+ 0.653206247933872,
123
+ 0.679969761072029
124
+ ],
125
+ [
126
+ 0.6562783268733798,
127
+ 0.6638215808344137,
128
+ 0.6918109536795092
129
+ ],
130
+ [
131
+ 0.6612628511109278,
132
+ 0.6705732148979346,
133
+ 0.6988899854465305
134
+ ],
135
+ [
136
+ 0.6654992702743769,
137
+ 0.6759732140920549,
138
+ 0.7040733623254986
139
+ ],
140
+ [
141
+ 0.6685321296696888,
142
+ 0.6789075569956714,
143
+ 0.7080603703778452
144
+ ],
145
+ [
146
+ 0.6698048367550236,
147
+ 0.6804219499932533,
148
+ 0.7097836757829676
149
+ ],
150
+ [
151
+ 0.6701876355715447,
152
+ 0.6808480033699754,
153
+ 0.7100321675470362
154
+ ]
155
+ ],
156
+ "train_fve_base_by_layer": [
157
+ [
158
+ 0.513117791544396,
159
+ 0.5155797629278442,
160
+ 0.5367597415999787
161
+ ],
162
+ [
163
+ 0.6441039162216587,
164
+ 0.6522654140823707,
165
+ 0.6780485487513144
166
+ ],
167
+ [
168
+ 0.6628799028933848,
169
+ 0.6730503911381914,
170
+ 0.7006935184626849
171
+ ],
172
+ [
173
+ 0.6733515275478085,
174
+ 0.685189020821593,
175
+ 0.7136173695760795
176
+ ],
177
+ [
178
+ 0.6809947529663068,
179
+ 0.6943080470148612,
180
+ 0.7237669889577564
181
+ ],
182
+ [
183
+ 0.6869359059912797,
184
+ 0.7013317935312274,
185
+ 0.7320945297704409
186
+ ],
187
+ [
188
+ 0.691114535056146,
189
+ 0.7062968335789126,
190
+ 0.7379111921794221
191
+ ],
192
+ [
193
+ 0.6934602800267382,
194
+ 0.7089756050794638,
195
+ 0.74095263758808
196
+ ]
197
+ ],
198
+ "train_fve_aligned_by_layer": [
199
+ [
200
+ 0.5089469564914425,
201
+ 0.510429343701244,
202
+ 0.5323305079203493
203
+ ],
204
+ [
205
+ 0.639565573195164,
206
+ 0.6456975710719076,
207
+ 0.6712321020745424
208
+ ],
209
+ [
210
+ 0.6564315080433928,
211
+ 0.664647905400672,
212
+ 0.6920562531957832
213
+ ],
214
+ [
215
+ 0.6654149732322493,
216
+ 0.6757753993500344,
217
+ 0.7038055851455328
218
+ ],
219
+ [
220
+ 0.6721183056032456,
221
+ 0.6841006580668447,
222
+ 0.7130108071013772
223
+ ],
224
+ [
225
+ 0.6774491685841143,
226
+ 0.6906084561306207,
227
+ 0.7208504371662552
228
+ ],
229
+ [
230
+ 0.6813007789749328,
231
+ 0.6952133505092472,
232
+ 0.726347162510593
233
+ ],
234
+ [
235
+ 0.6834543206437039,
236
+ 0.6976807647049253,
237
+ 0.729200392039422
238
+ ]
239
+ ],
240
+ "dead_neurons": [
241
+ 0.8841513978133616,
242
+ 0.9568707898076486,
243
+ 0.9615639534110711,
244
+ 0.9622459215026673,
245
+ 0.961871207317134,
246
+ 0.9613948494665677,
247
+ 0.9610488299939345,
248
+ 0.9609958831845009
249
+ ],
250
+ "l0_base": [
251
+ 121.136466098124,
252
+ 72.97896241891196,
253
+ 72.2001569606516,
254
+ 73.32550964979004,
255
+ 74.82235363249325,
256
+ 76.16007140917313,
257
+ 77.00653347409543,
258
+ 77.30068727438727
259
+ ],
260
+ "l0_aligned": [
261
+ 118.93421989481003,
262
+ 71.53167821925354,
263
+ 71.0108692305031,
264
+ 72.31692343431818,
265
+ 73.82103408127588,
266
+ 75.11973643929235,
267
+ 75.93497887481672,
268
+ 76.21462362437518
269
+ ],
270
+ "l0_base_by_layer": [
271
+ [
272
+ 111.43872227086982,
273
+ 118.30589608873322,
274
+ 133.66476941039113
275
+ ],
276
+ [
277
+ 62.302958990075894,
278
+ 71.08327860478693,
279
+ 85.55064214827787
280
+ ],
281
+ [
282
+ 61.694559982486865,
283
+ 70.65915061295972,
284
+ 84.24675277291301
285
+ ],
286
+ [
287
+ 62.596194541739635,
288
+ 72.23266929363689,
289
+ 85.14765761821366
290
+ ],
291
+ [
292
+ 63.748741243432576,
293
+ 74.00266345592527,
294
+ 86.71564871570344
295
+ ],
296
+ [
297
+ 64.77014010507881,
298
+ 75.4961325160537,
299
+ 88.21393388791594
300
+ ],
301
+ [
302
+ 65.40331290134267,
303
+ 76.38590922358435,
304
+ 89.23037069468768
305
+ ],
306
+ [
307
+ 65.64209354932866,
308
+ 76.70472124927029,
309
+ 89.5552393461763
310
+ ]
311
+ ],
312
+ "l0_aligned_by_layer": [
313
+ [
314
+ 109.56592965557502,
315
+ 115.97254451255108,
316
+ 131.26417469352015
317
+ ],
318
+ [
319
+ 61.350700525394046,
320
+ 69.53880253940456,
321
+ 83.70552393461763
322
+ ],
323
+ [
324
+ 60.85610040863981,
325
+ 69.35692133683597,
326
+ 82.81957822533568
327
+ ],
328
+ [
329
+ 61.81104057209574,
330
+ 71.03205268534734,
331
+ 84.10766929363689
332
+ ],
333
+ [
334
+ 62.96254743140689,
335
+ 72.73571584938703,
336
+ 85.76483143607706
337
+ ],
338
+ [
339
+ 63.978528166958554,
340
+ 74.16905647985989,
341
+ 87.21161704611792
342
+ ],
343
+ [
344
+ 64.58822241681261,
345
+ 75.03416885580852,
346
+ 88.18253794512552
347
+ ],
348
+ [
349
+ 64.81115002918855,
350
+ 75.33169147694105,
351
+ 88.50102159953299
352
+ ]
353
+ ],
354
+ "val_l0_base": [
355
+ 76.48782280727207,
356
+ 73.48593175598464,
357
+ 73.73878610820671,
358
+ 75.04906807145524,
359
+ 76.41334242096747,
360
+ 77.9022164469614,
361
+ 78.6846667384602,
362
+ 78.84989721487953
363
+ ],
364
+ "val_l0_aligned": [
365
+ 75.0534313261821,
366
+ 72.0293619844926,
367
+ 72.63701885283305,
368
+ 73.83349936919687,
369
+ 75.38107467571479,
370
+ 76.78896056170238,
371
+ 77.48427745559452,
372
+ 77.61215010238567
373
+ ],
374
+ "val_l0_base_by_layer": [
375
+ [
376
+ 65.50414485831536,
377
+ 74.47414921465969,
378
+ 89.48516582069597
379
+ ],
380
+ [
381
+ 63.45653360177085,
382
+ 71.41803010471205,
383
+ 85.58322427160452
384
+ ],
385
+ [
386
+ 63.403250449615,
387
+ 72.4886562087773,
388
+ 85.32444371727749
389
+ ],
390
+ [
391
+ 63.711605611271885,
392
+ 74.16361256544502,
393
+ 87.2719786479211
394
+ ],
395
+ [
396
+ 64.96951353862023,
397
+ 75.69464442867259,
398
+ 88.5758617061595
399
+ ],
400
+ [
401
+ 66.02416013547888,
402
+ 77.07302576833995,
403
+ 90.60945680628272
404
+ ],
405
+ [
406
+ 66.63781634425618,
407
+ 78.01167105629806,
408
+ 91.40450482593157
409
+ ],
410
+ [
411
+ 66.79128493064361,
412
+ 78.28724914071448,
413
+ 91.47114966427469
414
+ ]
415
+ ],
416
+ "val_l0_aligned_by_layer": [
417
+ [
418
+ 64.29243019862949,
419
+ 73.13732550655985,
420
+ 87.73053010471205
421
+ ],
422
+ [
423
+ 61.9127945026178,
424
+ 70.0345222513089,
425
+ 84.14076137043419
426
+ ],
427
+ [
428
+ 62.49950916230367,
429
+ 70.98451137043419,
430
+ 84.42702879581152
431
+ ],
432
+ [
433
+ 62.823243905112385,
434
+ 72.5755890052356,
435
+ 86.10165796729282
436
+ ],
437
+ [
438
+ 64.12390925622111,
439
+ 74.49552793652599,
440
+ 87.52377838614099
441
+ ],
442
+ [
443
+ 65.08524214659685,
444
+ 75.61262000917765,
445
+ 89.66901178010471
446
+ ],
447
+ [
448
+ 65.6529777486911,
449
+ 76.40794068980591,
450
+ 90.3919066583923
451
+ ],
452
+ [
453
+ 65.80791884816755,
454
+ 76.6645397166307,
455
+ 90.36398343390819
456
+ ]
457
+ ],
458
+ "self_recon": [
459
+ 0.03779663238511299,
460
+ 0.027047466899888666,
461
+ 0.02546192713786445,
462
+ 0.02456349793710663,
463
+ 0.023879754270594925,
464
+ 0.023328691720962524,
465
+ 0.02293838971385257,
466
+ 0.022728793613364735
467
+ ],
468
+ "cross_recon": [
469
+ 0.03785394466065101,
470
+ 0.027076600934990442,
471
+ 0.025491758700410178,
472
+ 0.0246022383432881,
473
+ 0.023943013571946507,
474
+ 0.02341594385669305,
475
+ 0.02303808376897655,
476
+ 0.02283220853215063
477
+ ],
478
+ "sparsity": [
479
+ 0.02380538061810293,
480
+ 0.005343071211149,
481
+ 0.005522758250330807,
482
+ 0.005670536276316232,
483
+ 0.005802577443560069,
484
+ 0.005913784346878703,
485
+ 0.005985629326738395,
486
+ 0.006012413198138129
487
+ ],
488
+ "val_self_recon": [
489
+ 0.028536553528764486,
490
+ 0.02644324319251857,
491
+ 0.02557803145292854,
492
+ 0.025054661449805605,
493
+ 0.0246538199016249,
494
+ 0.02437961772474319,
495
+ 0.024254350498786773,
496
+ 0.024226347998720813
497
+ ],
498
+ "val_cross_recon": [
499
+ 0.028564947554890398,
500
+ 0.02647020462997921,
501
+ 0.0256076222236868,
502
+ 0.02508811676065335,
503
+ 0.024693033419042356,
504
+ 0.024424381593135015,
505
+ 0.024301334952262683,
506
+ 0.02427353766498141
507
+ ],
508
+ "val_sparsity": [
509
+ 0.005314163556468737,
510
+ 0.0054825257890277505,
511
+ 0.005578053820176118,
512
+ 0.005667667375165599,
513
+ 0.005756030966045033,
514
+ 0.005859450251839236,
515
+ 0.00591701309620866,
516
+ 0.005934955881352668
517
+ ],
518
+ "layers": [
519
+ 12,
520
+ 13,
521
+ 14
522
+ ],
523
+ "topk_mode": "model_balanced_layer_agg"
524
+ }
v2-samelayer/assembled_activations/llama32-3b-kto/features/counterfactual_scores.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-kto/features/counterfactual_scores_by_layer.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-kto/features/feature_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-kto/features/merged_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-kto/features/model_layer_stream_patterns.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-kto/features/superposition_analysis.json ADDED
@@ -0,0 +1,271 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "analysis_kind": "multilayer_decoder_cosine_candidate_matches",
3
+ "description": "Candidate cross-layer superposition screen: aligned decoder vectors are matched against base decoder vectors across all selected layers/features. This is a geometry-derived screen, not a causal decomposition.",
4
+ "layers": [
5
+ 23,
6
+ 24,
7
+ 25
8
+ ],
9
+ "top_k": 5,
10
+ "cosine_threshold": 0.5,
11
+ "regression_candidates": 256,
12
+ "lasso_alpha": 0.01,
13
+ "n_features_analyzed": 5,
14
+ "features": {
15
+ "2344": {
16
+ "feature_id": 2344,
17
+ "primary_class": "aligned_only",
18
+ "target_layer": 25,
19
+ "r2": -4.07232970456306e-07,
20
+ "n_nonzero": 0,
21
+ "is_superposition": false,
22
+ "constituent_features": [],
23
+ "top_base_matches": [
24
+ {
25
+ "base_feature_id": 24296,
26
+ "base_layer": 24,
27
+ "cosine": 0.45633772015571594,
28
+ "abs_cosine": 0.45633772015571594,
29
+ "is_same_feature": false,
30
+ "is_cross_layer": true
31
+ },
32
+ {
33
+ "base_feature_id": 18687,
34
+ "base_layer": 25,
35
+ "cosine": 0.4250088334083557,
36
+ "abs_cosine": 0.4250088334083557,
37
+ "is_same_feature": false,
38
+ "is_cross_layer": false
39
+ },
40
+ {
41
+ "base_feature_id": 2865,
42
+ "base_layer": 24,
43
+ "cosine": -0.4132736921310425,
44
+ "abs_cosine": 0.4132736921310425,
45
+ "is_same_feature": false,
46
+ "is_cross_layer": true
47
+ },
48
+ {
49
+ "base_feature_id": 7175,
50
+ "base_layer": 23,
51
+ "cosine": -0.39883679151535034,
52
+ "abs_cosine": 0.39883679151535034,
53
+ "is_same_feature": false,
54
+ "is_cross_layer": true
55
+ },
56
+ {
57
+ "base_feature_id": 6201,
58
+ "base_layer": 23,
59
+ "cosine": -0.39130496978759766,
60
+ "abs_cosine": 0.39130496978759766,
61
+ "is_same_feature": false,
62
+ "is_cross_layer": true
63
+ }
64
+ ]
65
+ },
66
+ "11037": {
67
+ "feature_id": 11037,
68
+ "primary_class": "aligned_only",
69
+ "target_layer": 25,
70
+ "r2": -0.0009124147442902686,
71
+ "n_nonzero": 0,
72
+ "is_superposition": false,
73
+ "constituent_features": [],
74
+ "top_base_matches": [
75
+ {
76
+ "base_feature_id": 13612,
77
+ "base_layer": 25,
78
+ "cosine": -0.6919379234313965,
79
+ "abs_cosine": 0.6919379234313965,
80
+ "is_same_feature": false,
81
+ "is_cross_layer": false
82
+ },
83
+ {
84
+ "base_feature_id": 9490,
85
+ "base_layer": 25,
86
+ "cosine": -0.6915594339370728,
87
+ "abs_cosine": 0.6915594339370728,
88
+ "is_same_feature": false,
89
+ "is_cross_layer": false
90
+ },
91
+ {
92
+ "base_feature_id": 13762,
93
+ "base_layer": 25,
94
+ "cosine": 0.6774390935897827,
95
+ "abs_cosine": 0.6774390935897827,
96
+ "is_same_feature": false,
97
+ "is_cross_layer": false
98
+ },
99
+ {
100
+ "base_feature_id": 2287,
101
+ "base_layer": 25,
102
+ "cosine": -0.6305816173553467,
103
+ "abs_cosine": 0.6305816173553467,
104
+ "is_same_feature": false,
105
+ "is_cross_layer": false
106
+ },
107
+ {
108
+ "base_feature_id": 15355,
109
+ "base_layer": 24,
110
+ "cosine": -0.6074807643890381,
111
+ "abs_cosine": 0.6074807643890381,
112
+ "is_same_feature": false,
113
+ "is_cross_layer": true
114
+ }
115
+ ]
116
+ },
117
+ "18301": {
118
+ "feature_id": 18301,
119
+ "primary_class": "aligned_only",
120
+ "target_layer": 23,
121
+ "r2": -4.195340993251584e-05,
122
+ "n_nonzero": 0,
123
+ "is_superposition": false,
124
+ "constituent_features": [],
125
+ "top_base_matches": [
126
+ {
127
+ "base_feature_id": 12929,
128
+ "base_layer": 23,
129
+ "cosine": -0.5700091123580933,
130
+ "abs_cosine": 0.5700091123580933,
131
+ "is_same_feature": false,
132
+ "is_cross_layer": false
133
+ },
134
+ {
135
+ "base_feature_id": 17075,
136
+ "base_layer": 23,
137
+ "cosine": -0.53563392162323,
138
+ "abs_cosine": 0.53563392162323,
139
+ "is_same_feature": false,
140
+ "is_cross_layer": false
141
+ },
142
+ {
143
+ "base_feature_id": 15355,
144
+ "base_layer": 24,
145
+ "cosine": -0.5292654037475586,
146
+ "abs_cosine": 0.5292654037475586,
147
+ "is_same_feature": false,
148
+ "is_cross_layer": true
149
+ },
150
+ {
151
+ "base_feature_id": 6201,
152
+ "base_layer": 23,
153
+ "cosine": -0.5044533014297485,
154
+ "abs_cosine": 0.5044533014297485,
155
+ "is_same_feature": false,
156
+ "is_cross_layer": false
157
+ },
158
+ {
159
+ "base_feature_id": 24296,
160
+ "base_layer": 24,
161
+ "cosine": 0.5009859800338745,
162
+ "abs_cosine": 0.5009859800338745,
163
+ "is_same_feature": false,
164
+ "is_cross_layer": true
165
+ }
166
+ ]
167
+ },
168
+ "19481": {
169
+ "feature_id": 19481,
170
+ "primary_class": "aligned_only",
171
+ "target_layer": 24,
172
+ "r2": -0.00041131219288481624,
173
+ "n_nonzero": 0,
174
+ "is_superposition": false,
175
+ "constituent_features": [],
176
+ "top_base_matches": [
177
+ {
178
+ "base_feature_id": 15355,
179
+ "base_layer": 24,
180
+ "cosine": -0.607896089553833,
181
+ "abs_cosine": 0.607896089553833,
182
+ "is_same_feature": false,
183
+ "is_cross_layer": false
184
+ },
185
+ {
186
+ "base_feature_id": 3311,
187
+ "base_layer": 24,
188
+ "cosine": 0.5702545642852783,
189
+ "abs_cosine": 0.5702545642852783,
190
+ "is_same_feature": false,
191
+ "is_cross_layer": false
192
+ },
193
+ {
194
+ "base_feature_id": 20061,
195
+ "base_layer": 24,
196
+ "cosine": -0.5608834028244019,
197
+ "abs_cosine": 0.5608834028244019,
198
+ "is_same_feature": false,
199
+ "is_cross_layer": false
200
+ },
201
+ {
202
+ "base_feature_id": 16726,
203
+ "base_layer": 24,
204
+ "cosine": -0.5551276206970215,
205
+ "abs_cosine": 0.5551276206970215,
206
+ "is_same_feature": false,
207
+ "is_cross_layer": false
208
+ },
209
+ {
210
+ "base_feature_id": 9490,
211
+ "base_layer": 25,
212
+ "cosine": -0.5516860485076904,
213
+ "abs_cosine": 0.5516860485076904,
214
+ "is_same_feature": false,
215
+ "is_cross_layer": true
216
+ }
217
+ ]
218
+ },
219
+ "24296": {
220
+ "feature_id": 24296,
221
+ "primary_class": "aligned_only",
222
+ "target_layer": 24,
223
+ "r2": -0.00016202182581004365,
224
+ "n_nonzero": 0,
225
+ "is_superposition": false,
226
+ "constituent_features": [],
227
+ "top_base_matches": [
228
+ {
229
+ "base_feature_id": 24296,
230
+ "base_layer": 24,
231
+ "cosine": 0.5111119151115417,
232
+ "abs_cosine": 0.5111119151115417,
233
+ "is_same_feature": true,
234
+ "is_cross_layer": false
235
+ },
236
+ {
237
+ "base_feature_id": 18109,
238
+ "base_layer": 23,
239
+ "cosine": -0.43007758259773254,
240
+ "abs_cosine": 0.43007758259773254,
241
+ "is_same_feature": false,
242
+ "is_cross_layer": true
243
+ },
244
+ {
245
+ "base_feature_id": 7175,
246
+ "base_layer": 23,
247
+ "cosine": -0.42721956968307495,
248
+ "abs_cosine": 0.42721956968307495,
249
+ "is_same_feature": false,
250
+ "is_cross_layer": true
251
+ },
252
+ {
253
+ "base_feature_id": 1879,
254
+ "base_layer": 23,
255
+ "cosine": -0.42496082186698914,
256
+ "abs_cosine": 0.42496082186698914,
257
+ "is_same_feature": false,
258
+ "is_cross_layer": true
259
+ },
260
+ {
261
+ "base_feature_id": 6747,
262
+ "base_layer": 23,
263
+ "cosine": -0.42284414172172546,
264
+ "abs_cosine": 0.42284414172172546,
265
+ "is_same_feature": false,
266
+ "is_cross_layer": true
267
+ }
268
+ ]
269
+ }
270
+ }
271
+ }
v2-samelayer/assembled_activations/llama32-3b-kto/metrics/aggregate_metrics.json ADDED
@@ -0,0 +1,345 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crosscoder_kind": "multilayer_sparc",
3
+ "layers": [
4
+ 23,
5
+ 24,
6
+ 25
7
+ ],
8
+ "topk_mode": "model_balanced_layer_agg",
9
+ "topk": 400,
10
+ "expansion_factor": 8,
11
+ "dict_size": 24576,
12
+ "forced_shared_fraction": 0.06,
13
+ "class_counts": {
14
+ "shared_redirected": 18354,
15
+ "shared_attenuated": 4083,
16
+ "shared_aligned": 1474,
17
+ "shared_intermediate": 660,
18
+ "aligned_only": 5
19
+ },
20
+ "multilayer_class_counts": {
21
+ "drifting_or_rotating": 22988,
22
+ "persistent_shared": 1388,
23
+ "mixed_or_ambiguous": 195,
24
+ "localized_aligned_only": 5
25
+ },
26
+ "classification_thresholds": {
27
+ "rho_base_only": 0.4,
28
+ "rho_aligned_only": 0.9799827247629397,
29
+ "rho_shared_low": 0.49517253515653925,
30
+ "rho_shared_high": 0.8529490783385397
31
+ },
32
+ "threshold_sensitivity": {
33
+ "original": {
34
+ "shared_redirected": 18354,
35
+ "shared_attenuated": 4083,
36
+ "shared_aligned": 1474,
37
+ "shared_intermediate": 660,
38
+ "aligned_only": 5
39
+ },
40
+ "perturbed": {
41
+ "delta_-0.05": {
42
+ "base_only": 0,
43
+ "aligned_only": 0,
44
+ "shared_aligned": 1474,
45
+ "shared_redirected": 22264,
46
+ "shared_intermediate": 829,
47
+ "shared_attenuated": 4,
48
+ "other": 5
49
+ },
50
+ "delta_+0.05": {
51
+ "base_only": 5,
52
+ "aligned_only": 5,
53
+ "shared_aligned": 0,
54
+ "shared_redirected": 919,
55
+ "shared_intermediate": 43,
56
+ "shared_attenuated": 23604,
57
+ "other": 0
58
+ }
59
+ },
60
+ "perturbation": 0.05
61
+ },
62
+ "class_counts_by_layer": {
63
+ "23": {
64
+ "aligned_only": 24452,
65
+ "base_only": 124
66
+ },
67
+ "24": {
68
+ "aligned_only": 21864,
69
+ "base_only": 2712
70
+ },
71
+ "25": {
72
+ "aligned_only": 24502,
73
+ "base_only": 74
74
+ }
75
+ },
76
+ "feature_sharing_ratio_by_layer": {
77
+ "23": 0.0,
78
+ "24": 0.0,
79
+ "25": 0.0
80
+ },
81
+ "decoder_amplification_by_layer": {
82
+ "23": {
83
+ "median": 1.047627542042361,
84
+ "p95": 1.362319406084207
85
+ },
86
+ "24": {
87
+ "median": 1.0430958416504477,
88
+ "p95": 1.3325615028387257
89
+ },
90
+ "25": {
91
+ "median": 1.0378214066487217,
92
+ "p95": 1.2347764635930154
93
+ }
94
+ },
95
+ "classification_thresholds_by_layer": {
96
+ "23": {
97
+ "rho_base_only": 0.3721634745107997,
98
+ "rho_aligned_only": 0.3721634745107997,
99
+ "rho_shared_low": 0.3721634745107997,
100
+ "rho_shared_high": 0.3721634745107997
101
+ },
102
+ "24": {
103
+ "rho_base_only": 0.46737811492284764,
104
+ "rho_aligned_only": 0.46737811492284764,
105
+ "rho_shared_low": 0.46737811492284764,
106
+ "rho_shared_high": 0.46737811492284764
107
+ },
108
+ "25": {
109
+ "rho_base_only": 0.40263814939318293,
110
+ "rho_aligned_only": 0.40263814939318293,
111
+ "rho_shared_low": 0.40263814939318293,
112
+ "rho_shared_high": 0.40263814939318293
113
+ }
114
+ },
115
+ "threshold_sensitivity_by_layer": {
116
+ "23": {
117
+ "original": {
118
+ "aligned_only": 24452,
119
+ "base_only": 124
120
+ },
121
+ "perturbed": {
122
+ "delta_-0.05": {
123
+ "base_only": 95,
124
+ "aligned_only": 24192,
125
+ "shared_aligned": 43,
126
+ "shared_redirected": 146,
127
+ "shared_intermediate": 100,
128
+ "shared_attenuated": 0,
129
+ "other": 0
130
+ },
131
+ "delta_+0.05": {
132
+ "base_only": 384,
133
+ "aligned_only": 24192,
134
+ "shared_aligned": 0,
135
+ "shared_redirected": 0,
136
+ "shared_intermediate": 0,
137
+ "shared_attenuated": 0,
138
+ "other": 0
139
+ }
140
+ },
141
+ "perturbation": 0.05
142
+ },
143
+ "24": {
144
+ "original": {
145
+ "aligned_only": 21864,
146
+ "base_only": 2712
147
+ },
148
+ "perturbed": {
149
+ "delta_-0.05": {
150
+ "base_only": 280,
151
+ "aligned_only": 10646,
152
+ "shared_aligned": 1374,
153
+ "shared_redirected": 11475,
154
+ "shared_intermediate": 801,
155
+ "shared_attenuated": 0,
156
+ "other": 0
157
+ },
158
+ "delta_+0.05": {
159
+ "base_only": 13930,
160
+ "aligned_only": 10646,
161
+ "shared_aligned": 0,
162
+ "shared_redirected": 0,
163
+ "shared_intermediate": 0,
164
+ "shared_attenuated": 0,
165
+ "other": 0
166
+ }
167
+ },
168
+ "perturbation": 0.05
169
+ },
170
+ "25": {
171
+ "original": {
172
+ "aligned_only": 24502,
173
+ "base_only": 74
174
+ },
175
+ "perturbed": {
176
+ "delta_-0.05": {
177
+ "base_only": 63,
178
+ "aligned_only": 24191,
179
+ "shared_aligned": 22,
180
+ "shared_redirected": 241,
181
+ "shared_intermediate": 59,
182
+ "shared_attenuated": 0,
183
+ "other": 0
184
+ },
185
+ "delta_+0.05": {
186
+ "base_only": 385,
187
+ "aligned_only": 24191,
188
+ "shared_aligned": 0,
189
+ "shared_redirected": 0,
190
+ "shared_intermediate": 0,
191
+ "shared_attenuated": 0,
192
+ "other": 0
193
+ }
194
+ },
195
+ "perturbation": 0.05
196
+ }
197
+ },
198
+ "counterfactual_shift_by_layer": {
199
+ "23": {
200
+ "aligned_only": {
201
+ "mean_shift": 0.05192818641662598,
202
+ "median_shift": 0.0,
203
+ "p95_abs_shift": 2.235345268249511,
204
+ "count": 5
205
+ },
206
+ "shared_aligned": {
207
+ "mean_shift": 0.17152424341133637,
208
+ "median_shift": -7.850458587199682e-06,
209
+ "p95_abs_shift": 4.667830324172954,
210
+ "count": 1474
211
+ },
212
+ "shared_attenuated": {
213
+ "mean_shift": -1.008251538443044e-06,
214
+ "median_shift": 0.0,
215
+ "p95_abs_shift": 0.0,
216
+ "count": 4083
217
+ },
218
+ "shared_intermediate": {
219
+ "mean_shift": 6.39913474182749e-07,
220
+ "median_shift": 0.0,
221
+ "p95_abs_shift": 0.0,
222
+ "count": 660
223
+ },
224
+ "shared_redirected": {
225
+ "mean_shift": 5.061595920287719e-07,
226
+ "median_shift": 0.0,
227
+ "p95_abs_shift": 0.0,
228
+ "count": 18354
229
+ }
230
+ },
231
+ "24": {
232
+ "aligned_only": {
233
+ "mean_shift": 0.4149253680070615,
234
+ "median_shift": 0.0,
235
+ "p95_abs_shift": 9.360336065292357,
236
+ "count": 5
237
+ },
238
+ "shared_aligned": {
239
+ "mean_shift": 0.18706549459255475,
240
+ "median_shift": -1.6757953744672704e-06,
241
+ "p95_abs_shift": 4.258874750137304,
242
+ "count": 1474
243
+ },
244
+ "shared_attenuated": {
245
+ "mean_shift": -7.682575175577572e-07,
246
+ "median_shift": 0.0,
247
+ "p95_abs_shift": 0.0,
248
+ "count": 4083
249
+ },
250
+ "shared_intermediate": {
251
+ "mean_shift": 7.5666555200435615e-06,
252
+ "median_shift": 0.0,
253
+ "p95_abs_shift": 0.0,
254
+ "count": 660
255
+ },
256
+ "shared_redirected": {
257
+ "mean_shift": 6.903093206683238e-07,
258
+ "median_shift": 0.0,
259
+ "p95_abs_shift": 0.0,
260
+ "count": 18354
261
+ }
262
+ },
263
+ "25": {
264
+ "aligned_only": {
265
+ "mean_shift": 0.11894665029558382,
266
+ "median_shift": 8.357907972822431e-06,
267
+ "p95_abs_shift": 2.852829647064209,
268
+ "count": 5
269
+ },
270
+ "shared_aligned": {
271
+ "mean_shift": 0.20790013630214754,
272
+ "median_shift": -8.05746958576492e-06,
273
+ "p95_abs_shift": 4.167022371292107,
274
+ "count": 1474
275
+ },
276
+ "shared_attenuated": {
277
+ "mean_shift": -1.924276880147058e-06,
278
+ "median_shift": 0.0,
279
+ "p95_abs_shift": 0.0,
280
+ "count": 4083
281
+ },
282
+ "shared_intermediate": {
283
+ "mean_shift": 4.6839660514179245e-06,
284
+ "median_shift": 0.0,
285
+ "p95_abs_shift": 0.0,
286
+ "count": 660
287
+ },
288
+ "shared_redirected": {
289
+ "mean_shift": 1.508880238708032e-06,
290
+ "median_shift": 0.0,
291
+ "p95_abs_shift": 0.0,
292
+ "count": 18354
293
+ }
294
+ }
295
+ },
296
+ "total_features": 24576,
297
+ "fve_base": 0.650527210759867,
298
+ "fve_aligned": 0.6851702085964343,
299
+ "fve_base_by_layer": [
300
+ 0.6429182481391268,
301
+ 0.6468658194492001,
302
+ 0.661797509455556
303
+ ],
304
+ "fve_aligned_by_layer": [
305
+ 0.6799573065098667,
306
+ 0.6851004518139425,
307
+ 0.6904528172228349
308
+ ],
309
+ "val_fve_base_by_layer": [
310
+ 0.6429182481391268,
311
+ 0.6468658194492001,
312
+ 0.661797509455556
313
+ ],
314
+ "val_fve_aligned_by_layer": [
315
+ 0.6799573065098667,
316
+ 0.6851004518139425,
317
+ 0.6904528172228349
318
+ ],
319
+ "dead_neuron_fraction": 0.9710712081775008,
320
+ "l0_sparsity_base": 136.68414228253383,
321
+ "l0_sparsity_aligned": 134.29049186461583,
322
+ "l0_base_by_layer": [
323
+ 125.3520869819031,
324
+ 134.57740440747227,
325
+ 150.12292031523643
326
+ ],
327
+ "l0_aligned_by_layer": [
328
+ 126.03602962638645,
329
+ 131.27096103327494,
330
+ 145.56447022767074
331
+ ],
332
+ "val_l0_base": 137.48267991630195,
333
+ "val_l0_aligned": 134.74987800957643,
334
+ "val_l0_base_by_layer": [
335
+ 126.13634383116717,
336
+ 135.3324607329843,
337
+ 150.9792212041885
338
+ ],
339
+ "val_l0_aligned_by_layer": [
340
+ 126.54193938090539,
341
+ 131.6101112565445,
342
+ 146.0975676531567
343
+ ],
344
+ "superposition_fraction": 0.0
345
+ }
v2-samelayer/assembled_activations/llama32-3b-kto/metrics/training_metrics.json ADDED
@@ -0,0 +1,524 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epochs": [
3
+ 1,
4
+ 2,
5
+ 3,
6
+ 4,
7
+ 5,
8
+ 6,
9
+ 7,
10
+ 8
11
+ ],
12
+ "train_loss": [
13
+ 0.5933123942327583,
14
+ 0.442794848935895,
15
+ 0.42607008457462203,
16
+ 0.38806798507856893,
17
+ 0.3780940956040843,
18
+ 0.37194959002493144,
19
+ 0.36910743747826424,
20
+ 0.36662243225737334
21
+ ],
22
+ "val_loss": [
23
+ 0.4522804942430626,
24
+ 0.43734881515902374,
25
+ 0.41274881846617656,
26
+ 0.38737851022425746,
27
+ 0.38028734547929616,
28
+ 0.3786773179214038,
29
+ 0.3776190936253333,
30
+ 0.37696840079667054
31
+ ],
32
+ "train_fve_base": [
33
+ 0.4814383069961313,
34
+ 0.6003544950304293,
35
+ 0.6189264595265007,
36
+ 0.6378410120352763,
37
+ 0.6485570505287518,
38
+ 0.6568282935540021,
39
+ 0.6628907306529733,
40
+ 0.6666664291875654
41
+ ],
42
+ "train_fve_aligned": [
43
+ 0.4897083103253359,
44
+ 0.5930533013842082,
45
+ 0.6123184734662931,
46
+ 0.6680812882667247,
47
+ 0.680344003651202,
48
+ 0.6861663695252993,
49
+ 0.6893872699748683,
50
+ 0.6921899963803133
51
+ ],
52
+ "val_fve_base": [
53
+ 0.5845968798193008,
54
+ 0.6098661441453465,
55
+ 0.6222324986108311,
56
+ 0.635092594860736,
57
+ 0.6419743776945543,
58
+ 0.6467851612580384,
59
+ 0.6494424973482861,
60
+ 0.650527210759867
61
+ ],
62
+ "val_fve_aligned": [
63
+ 0.5853793015654799,
64
+ 0.5955420280002175,
65
+ 0.6358089334677651,
66
+ 0.671886538023724,
67
+ 0.680234924036795,
68
+ 0.6819715406258069,
69
+ 0.6842551374934731,
70
+ 0.6851702085964343
71
+ ],
72
+ "val_fve_base_by_layer": [
73
+ [
74
+ 0.5732664069580158,
75
+ 0.5763397326020046,
76
+ 0.6041844409173696
77
+ ],
78
+ [
79
+ 0.5986687528525347,
80
+ 0.6034028695515937,
81
+ 0.6275267547961929
82
+ ],
83
+ [
84
+ 0.6165900526870608,
85
+ 0.6112354472669631,
86
+ 0.6388719418910161
87
+ ],
88
+ [
89
+ 0.6276468862413735,
90
+ 0.6292668268942708,
91
+ 0.6483640190194414
92
+ ],
93
+ [
94
+ 0.6339579698927116,
95
+ 0.6365792960396612,
96
+ 0.6553858159724331
97
+ ],
98
+ [
99
+ 0.6386778891398645,
100
+ 0.6424399002684349,
101
+ 0.6592376335129064
102
+ ],
103
+ [
104
+ 0.6416899889551532,
105
+ 0.6455407226897035,
106
+ 0.6610967317176739
107
+ ],
108
+ [
109
+ 0.6429182481391268,
110
+ 0.6468658194492001,
111
+ 0.661797509455556
112
+ ]
113
+ ],
114
+ "val_fve_aligned_by_layer": [
115
+ [
116
+ 0.5565477425515339,
117
+ 0.5519646746325867,
118
+ 0.647625432276601
119
+ ],
120
+ [
121
+ 0.5665813191398901,
122
+ 0.5605105738989345,
123
+ 0.6595341338537126
124
+ ],
125
+ [
126
+ 0.6707772475262587,
127
+ 0.5713420142053933,
128
+ 0.6653074703291448
129
+ ],
130
+ [
131
+ 0.6783266744688543,
132
+ 0.6637531731141175,
133
+ 0.6735797000180989
134
+ ],
135
+ [
136
+ 0.6752785547241491,
137
+ 0.6786753744355047,
138
+ 0.6867507864667483
139
+ ],
140
+ [
141
+ 0.6770623098493247,
142
+ 0.68111452007793,
143
+ 0.687737735154117
144
+ ],
145
+ [
146
+ 0.6787484924830691,
147
+ 0.6842160321655074,
148
+ 0.689800825106536
149
+ ],
150
+ [
151
+ 0.6799573065098667,
152
+ 0.6851004518139425,
153
+ 0.6904528172228349
154
+ ]
155
+ ],
156
+ "train_fve_base_by_layer": [
157
+ [
158
+ 0.4730913452216915,
159
+ 0.47967155965809505,
160
+ 0.4915519679629587
161
+ ],
162
+ [
163
+ 0.5891723040593554,
164
+ 0.5918736373271708,
165
+ 0.6200174819080021
166
+ ],
167
+ [
168
+ 0.6081104554840506,
169
+ 0.6112697695474909,
170
+ 0.6373990934909747
171
+ ],
172
+ [
173
+ 0.631499816713038,
174
+ 0.6302260103381592,
175
+ 0.6517971492760096
176
+ ],
177
+ [
178
+ 0.6413867825732479,
179
+ 0.6431660363010266,
180
+ 0.6611182747427232
181
+ ],
182
+ [
183
+ 0.6489884858234404,
184
+ 0.651991655585784,
185
+ 0.6695046753682939
186
+ ],
187
+ [
188
+ 0.6551149910956325,
189
+ 0.658601807177032,
190
+ 0.6749553329333602
191
+ ],
192
+ [
193
+ 0.6590984342951421,
194
+ 0.6626518236846166,
195
+ 0.6782489653504946
196
+ ]
197
+ ],
198
+ "train_fve_aligned_by_layer": [
199
+ [
200
+ 0.48375090509566104,
201
+ 0.4794864978138912,
202
+ 0.5058874788857731
203
+ ],
204
+ [
205
+ 0.5638634942110978,
206
+ 0.5601495567359078,
207
+ 0.6551467945752475
208
+ ],
209
+ [
210
+ 0.6013194078669796,
211
+ 0.5714226390490111,
212
+ 0.6642133136694708
213
+ ],
214
+ [
215
+ 0.6761792779177583,
216
+ 0.6555343266474317,
217
+ 0.6725302028224542
218
+ ],
219
+ [
220
+ 0.6819632140015971,
221
+ 0.6775305208516831,
222
+ 0.6815382182702501
223
+ ],
224
+ [
225
+ 0.6810176338080558,
226
+ 0.6852003142141976,
227
+ 0.6922811020276592
228
+ ],
229
+ [
230
+ 0.6838987355544006,
231
+ 0.6887385682341514,
232
+ 0.6955244492454551
233
+ ],
234
+ [
235
+ 0.6868440483093818,
236
+ 0.6917720467321927,
237
+ 0.6979538341467657
238
+ ]
239
+ ],
240
+ "dead_neurons": [
241
+ 0.9377401455827993,
242
+ 0.9667631407891946,
243
+ 0.9680073846172883,
244
+ 0.9687811607376429,
245
+ 0.9695221584092367,
246
+ 0.9703716389004139,
247
+ 0.9709274034296916,
248
+ 0.9710712081775008
249
+ ],
250
+ "l0_base": [
251
+ 168.06772301757954,
252
+ 126.81064258760273,
253
+ 123.2507261019037,
254
+ 126.34850245808136,
255
+ 130.52682192257393,
256
+ 132.99421610834997,
257
+ 135.4419259128693,
258
+ 136.68414228253383
259
+ ],
260
+ "l0_aligned": [
261
+ 159.23378112311957,
262
+ 122.26635424630098,
263
+ 119.10803059201038,
264
+ 123.13043885862903,
265
+ 126.86929286994645,
266
+ 129.55245873695637,
267
+ 132.93504854593093,
268
+ 134.29049186461583
269
+ ],
270
+ "l0_base_by_layer": [
271
+ [
272
+ 161.7963915645067,
273
+ 167.02606903093988,
274
+ 175.3806917688266
275
+ ],
276
+ [
277
+ 117.48657326328079,
278
+ 123.98622664915354,
279
+ 138.95911777583188
280
+ ],
281
+ [
282
+ 115.22205195563339,
283
+ 121.02900612959719,
284
+ 133.501112813777
285
+ ],
286
+ [
287
+ 115.18999927028605,
288
+ 123.78610259778166,
289
+ 140.06939579684763
290
+ ],
291
+ [
292
+ 117.65137915936953,
293
+ 129.656158785756,
294
+ 144.27291301809692
295
+ ],
296
+ [
297
+ 120.36387186223,
298
+ 131.73347197898423,
299
+ 146.88528896672506
300
+ ],
301
+ [
302
+ 123.50923088149446,
303
+ 133.5356830122592,
304
+ 149.28084865732632
305
+ ],
306
+ [
307
+ 125.3520869819031,
308
+ 134.57740440747227,
309
+ 150.12292031523643
310
+ ]
311
+ ],
312
+ "l0_aligned_by_layer": [
313
+ [
314
+ 155.430823117338,
315
+ 157.74321366024517,
316
+ 164.5272913018097
317
+ ],
318
+ [
319
+ 115.72462419731465,
320
+ 117.97945855224752,
321
+ 133.09497227086982
322
+ ],
323
+ [
324
+ 113.77422650321074,
325
+ 113.63875510799767,
326
+ 129.91110259778168
327
+ ],
328
+ [
329
+ 114.65721687098657,
330
+ 118.46561223000583,
331
+ 136.26848000583772
332
+ ],
333
+ [
334
+ 117.2795716579101,
335
+ 124.29976649153532,
336
+ 139.0285318155283
337
+ ],
338
+ [
339
+ 120.08021380618797,
340
+ 126.71048598949211,
341
+ 141.86666301809692
342
+ ],
343
+ [
344
+ 124.03427831290135,
345
+ 129.95809617629888,
346
+ 144.81275539988326
347
+ ],
348
+ [
349
+ 126.03602962638645,
350
+ 131.27096103327494,
351
+ 145.56447022767074
352
+ ]
353
+ ],
354
+ "val_l0_base": [
355
+ 133.6790515040852,
356
+ 126.03499806988302,
357
+ 122.7813797396515,
358
+ 129.9280155042079,
359
+ 132.89138482378416,
360
+ 134.8359382988895,
361
+ 136.81023291143447,
362
+ 137.48267991630195
363
+ ],
364
+ "val_l0_aligned": [
365
+ 127.6454003219205,
366
+ 121.64332736349854,
367
+ 117.30543074682745,
368
+ 127.08719019864866,
369
+ 128.0597404360147,
370
+ 131.95315767457973,
371
+ 134.10319015742596,
372
+ 134.74987800957643
373
+ ],
374
+ "val_l0_base_by_layer": [
375
+ [
376
+ 125.309500449615,
377
+ 128.9821662303665,
378
+ 146.745473412319
379
+ ],
380
+ [
381
+ 115.72027707724047,
382
+ 125.55879147514622,
383
+ 136.8259162303665
384
+ ],
385
+ [
386
+ 113.56468152750224,
387
+ 120.74323736060977,
388
+ 134.03621294111483
389
+ ],
390
+ [
391
+ 117.10433029254693,
392
+ 127.62696335078535,
393
+ 145.05273781022476
394
+ ],
395
+ [
396
+ 120.67233859556508,
397
+ 130.8184446165075,
398
+ 147.18335520160136
399
+ ],
400
+ [
401
+ 122.73429319371728,
402
+ 132.8148451400677,
403
+ 148.95866058509387
404
+ ],
405
+ [
406
+ 125.38885254385583,
407
+ 134.5613547120419,
408
+ 150.48047562044954
409
+ ],
410
+ [
411
+ 126.13634383116717,
412
+ 135.3324607329843,
413
+ 150.9792212041885
414
+ ]
415
+ ],
416
+ "val_l0_aligned_by_layer": [
417
+ [
418
+ 124.38279887893437,
419
+ 120.35596641820139,
420
+ 138.19742588222962
421
+ ],
422
+ [
423
+ 114.432973412319,
424
+ 117.49503709882966,
425
+ 133.00196335078533
426
+ ],
427
+ [
428
+ 109.7994109947644,
429
+ 110.60089442867259,
430
+ 131.5159795471511
431
+ ],
432
+ [
433
+ 116.04553885734518,
434
+ 124.60585732984293,
435
+ 140.61016582069595
436
+ ],
437
+ [
438
+ 119.92277486910994,
439
+ 124.03735822907294,
440
+ 140.2190772251309
441
+ ],
442
+ [
443
+ 122.63519854320906,
444
+ 129.07717060668307,
445
+ 144.1470876963351
446
+ ],
447
+ [
448
+ 125.78043193717278,
449
+ 130.91977535866943,
450
+ 145.60934775786873
451
+ ],
452
+ [
453
+ 126.54193938090539,
454
+ 131.6101112565445,
455
+ 146.0975676531567
456
+ ]
457
+ ],
458
+ "self_recon": [
459
+ 0.3596775165024516,
460
+ 0.2799183193418065,
461
+ 0.26739436908208064,
462
+ 0.24186065978323307,
463
+ 0.23369103840618055,
464
+ 0.22850491952910038,
465
+ 0.22538104173180937,
466
+ 0.22313513932559342
467
+ ],
468
+ "cross_recon": [
469
+ 0.38041265005266467,
470
+ 0.3039850652113479,
471
+ 0.29148193161284375,
472
+ 0.26661263893413323,
473
+ 0.2592871804127412,
474
+ 0.25357689010387124,
475
+ 0.2501190767187997,
476
+ 0.24781497845820913
477
+ ],
478
+ "sparsity": [
479
+ 0.0814698132715132,
480
+ 0.04128250095208207,
481
+ 0.04208294076924427,
482
+ 0.03956226723554603,
483
+ 0.04068818295856212,
484
+ 0.04201391230131267,
485
+ 0.04367876260541923,
486
+ 0.04436129915717744
487
+ ],
488
+ "val_self_recon": [
489
+ 0.28703898846791054,
490
+ 0.27524666722220276,
491
+ 0.25847701931186995,
492
+ 0.2406287566997618,
493
+ 0.23478099087458007,
494
+ 0.2326575024589818,
495
+ 0.23096176958521,
496
+ 0.23029655413165767
497
+ ],
498
+ "val_cross_recon": [
499
+ 0.311376446516726,
500
+ 0.29898168794147634,
501
+ 0.2829330632979957,
502
+ 0.26673236247444654,
503
+ 0.2611719256764307,
504
+ 0.25862815227183994,
505
+ 0.2567455348856162,
506
+ 0.2561143940187874
507
+ ],
508
+ "val_sparsity": [
509
+ 0.04069092366551853,
510
+ 0.042509469140262504,
511
+ 0.04109857126056212,
512
+ 0.04005680582364192,
513
+ 0.04103758367490394,
514
+ 0.04256855082059406,
515
+ 0.04395910826419037,
516
+ 0.044226086713100604
517
+ ],
518
+ "layers": [
519
+ 23,
520
+ 24,
521
+ 25
522
+ ],
523
+ "topk_mode": "model_balanced_layer_agg"
524
+ }
v2-samelayer/assembled_activations/llama32-3b-simpo/checkpoints/final.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ccb6d15d31851a2c8616da9042c402d47e5863ff5af099931d9f1041b86f0d4
3
+ size 10873439922
v2-samelayer/assembled_activations/llama32-3b-simpo/features/cross_layer_cosine_drift.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7fde65a9d5d2e756fabc40ffd1a57e4cc6bfe199673e000347a8b295cc77d0e3
3
+ size 27349788
v2-samelayer/assembled_activations/llama32-3b-simpo/features/decoder_layer_profiles.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:419a4021e282db8cb1143e2576e64cb82eb8327da1cb2627676f9cdd475aa2a1
3
+ size 13236337
v2-samelayer/assembled_activations/llama32-3b-simpo/features/model_layer_stream_patterns.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:98183a1f8d1d6f341e6de2278123c273f14d27872b9ead0fd01199623ec143e5
3
+ size 10829188
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/aligned_decoder_norm_heatmap.png ADDED

Git LFS Details

  • SHA256: 6d148f8c3598a04c1a3c8a3614f9ac7d755dbc992e11380fde57b5b27a6160f4
  • Pointer size: 131 Bytes
  • Size of remote file: 181 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/base_decoder_norm_heatmap.png ADDED

Git LFS Details

  • SHA256: 90378eba9ab620720e9a5be63ddf19d857f163754dae2a9c0e11761109eef681
  • Pointer size: 131 Bytes
  • Size of remote file: 180 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/cf_shift_by_layer.png ADDED

Git LFS Details

  • SHA256: d2b279e1177392223a89e84117484da01bcfca14b6e209d50dfe53e7b52ce725
  • Pointer size: 130 Bytes
  • Size of remote file: 43.7 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/cf_shift_p95_by_layer.png ADDED

Git LFS Details

  • SHA256: 851ff1df0a1a1053cce768efd353a568e5f95567794ab2f62307710fbf3079b4
  • Pointer size: 131 Bytes
  • Size of remote file: 125 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/class_distribution_multilayer.png ADDED

Git LFS Details

  • SHA256: ad3199c1872d52c1b76cad0bfbecc17df5b3e7214c28e517a1c98dc434feb566
  • Pointer size: 130 Bytes
  • Size of remote file: 87.1 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/class_distribution_primary.png ADDED

Git LFS Details

  • SHA256: 339f0f6aba2c93aae7ec7a30bc58f71b369d7f8067bf58a8f2d3e737fec8638b
  • Pointer size: 131 Bytes
  • Size of remote file: 148 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/cross_layer_cosine_drift_by_stream.png ADDED

Git LFS Details

  • SHA256: 533c9c7ee417e3884b79be016c7d37e19499171e41899c787d94f7087e672374
  • Pointer size: 130 Bytes
  • Size of remote file: 50.2 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/decoder_norm_ratio_by_layer.png ADDED

Git LFS Details

  • SHA256: 644a033382361decd1c16c9c403e22528a058b38708031dcf936d0fc13c72d9a
  • Pointer size: 130 Bytes
  • Size of remote file: 51.4 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/feature_layer_trajectories.png ADDED

Git LFS Details

  • SHA256: 73106568eb9aeee5a10abf229d4bed081a19f449bdd8ae642ee8b248f0f14f34
  • Pointer size: 131 Bytes
  • Size of remote file: 658 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/feature_sharing_ratio_by_layer.png ADDED

Git LFS Details

  • SHA256: 546e91aeafe39f3a08115604051f0e363f6a1d19c9c18cac97fd3ab2e2ae0e7c
  • Pointer size: 130 Bytes
  • Size of remote file: 55.3 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/fve_by_layer.png ADDED

Git LFS Details

  • SHA256: 29a2c6dc652c68c5db0866990841863f7fbb73177badb1253971d775b81d05a2
  • Pointer size: 131 Bytes
  • Size of remote file: 111 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/l0_by_layer.png ADDED

Git LFS Details

  • SHA256: 2fa4c740150bb2c6e395c42a3fbc42e81add40686df232319a3821d4afb4008f
  • Pointer size: 130 Bytes
  • Size of remote file: 93.7 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/layer_concentration_entropy.png ADDED

Git LFS Details

  • SHA256: 77c88abe809a20c6260529ec09c812d3fc7f327ceca3fa0e4d339e2339e3447d
  • Pointer size: 131 Bytes
  • Size of remote file: 106 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/loss_curves.png ADDED

Git LFS Details

  • SHA256: 7da65a8bfbcc7548869c6d28d685ec0edbe575c6a0080e4df97fc2599401aeb1
  • Pointer size: 131 Bytes
  • Size of remote file: 301 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/max_norm_layer_migration.png ADDED

Git LFS Details

  • SHA256: 90905d06c7c2260d8581e90c8c7361d50b4c1d04b09b391d04d1f6f4e790c24f
  • Pointer size: 130 Bytes
  • Size of remote file: 83 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/rho_histogram_by_layer.png ADDED

Git LFS Details

  • SHA256: db116820ff11ebc613106d1ed76dc035f2361577131214fbe84d8b0c208dfb91
  • Pointer size: 130 Bytes
  • Size of remote file: 48.5 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/rho_theta_scatter_by_layer.png ADDED

Git LFS Details

  • SHA256: 1ffbb671d608deaf20429fb7b7161cfe947d4dc7099bf184651c4109022125d3
  • Pointer size: 132 Bytes
  • Size of remote file: 1.44 MB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/superposition_by_layer.png ADDED

Git LFS Details

  • SHA256: f2c091fab892c52dd76137c531d910fceb852741343c66a11f6d205b1374da37
  • Pointer size: 131 Bytes
  • Size of remote file: 104 kB
v2-samelayer/assembled_activations/llama32-3b-simpo/plots/theta_by_layer.png ADDED

Git LFS Details

  • SHA256: 86bb23a3595d6f9caa4c9b260c2954a09e6f89e81dd88466fa6fb9397201b486
  • Pointer size: 130 Bytes
  • Size of remote file: 53.2 kB
v2-samelayer/assembled_activations/qwen3-4b-dpo/features/cross_layer_cosine_drift.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3febf3e5d588e9073d0bb305a5ed726655e667c74c78e38e55ff23802e330156
3
+ size 22223458
v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/aligned_decoder_norm_heatmap.png ADDED

Git LFS Details

  • SHA256: e7029e11b2a0baac5db015215998f1e355ada9f9a96225079b72e543dc9e59c4
  • Pointer size: 131 Bytes
  • Size of remote file: 181 kB
v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/base_decoder_norm_heatmap.png ADDED

Git LFS Details

  • SHA256: ceb0bc615562dc77fd6ec303cf5b5ee636e1e28f09259dcb4ce353271930ed22
  • Pointer size: 131 Bytes
  • Size of remote file: 180 kB
v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/cf_shift_by_layer.png ADDED

Git LFS Details

  • SHA256: 60fc72cf8031671b7ade8472fce73e6c97358b21f849674855f41929220ed394
  • Pointer size: 130 Bytes
  • Size of remote file: 44.3 kB
v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/cf_shift_p95_by_layer.png ADDED

Git LFS Details

  • SHA256: 31b5956c95ad283a9fdb84d7455c0ab6a06c3050507f0223455aea6bdbd42d24
  • Pointer size: 131 Bytes
  • Size of remote file: 110 kB
v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/class_distribution_multilayer.png ADDED

Git LFS Details

  • SHA256: d7562609167b801533edec58b0bd4bad47852dd7370ebf1d17001795efb28d2f
  • Pointer size: 130 Bytes
  • Size of remote file: 93.7 kB
v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/class_distribution_primary.png ADDED

Git LFS Details

  • SHA256: 6811b68413db92de41059e68c6c5b4025d1612950d3e88d6311492a65e5be29d
  • Pointer size: 131 Bytes
  • Size of remote file: 145 kB
v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/cross_layer_cosine_drift_by_stream.png ADDED

Git LFS Details

  • SHA256: a1f0e9038e380a5aa7414fe9559641bbee59ff5cefe465b3a5c4a21a9a8077bd
  • Pointer size: 130 Bytes
  • Size of remote file: 44.6 kB
v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/decoder_norm_ratio_by_layer.png ADDED

Git LFS Details

  • SHA256: ddd676f02c78e399effa493fe9fd61af604abe07e5b5f9afd7c49126eeb11835
  • Pointer size: 130 Bytes
  • Size of remote file: 47.6 kB
v2-samelayer/assembled_activations/qwen3-4b-dpo/plots/feature_layer_trajectories.png ADDED

Git LFS Details

  • SHA256: 91882e12e1f0ea6f9e3cd31a935ff321949cbb0d1015b2640d26481b04434d91
  • Pointer size: 131 Bytes
  • Size of remote file: 630 kB