ishangarg183 commited on
Commit
86739cc
·
verified ·
1 Parent(s): 973949a

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 +6 -0
  2. v2-samelayer/assembled_activations/llama32-3b-simpo/features/counterfactual_scores.csv +0 -0
  3. v2-samelayer/assembled_activations/llama32-3b-simpo/features/counterfactual_scores_by_layer.csv +0 -0
  4. v2-samelayer/assembled_activations/llama32-3b-simpo/features/feature_classification.csv +0 -0
  5. v2-samelayer/assembled_activations/llama32-3b-simpo/features/merged_classification.csv +0 -0
  6. v2-samelayer/assembled_activations/llama32-3b-simpo/features/superposition_analysis.json +0 -0
  7. v2-samelayer/assembled_activations/llama32-3b-simpo/metrics/aggregate_metrics.json +390 -0
  8. v2-samelayer/assembled_activations/llama32-3b-simpo/metrics/training_metrics.json +524 -0
  9. v2-samelayer/assembled_activations/qwen3-4b-kto/metrics/aggregate_metrics.json +285 -0
  10. v2-samelayer/assembled_activations/qwen3-4b-kto/metrics/training_metrics.json +524 -0
  11. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/cf_shift_by_layer_pair.png +3 -0
  12. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/class_distribution_by_layer_pair.png +3 -0
  13. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/dead_neurons_by_layer_pair.png +3 -0
  14. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/fve_by_layer_pair.png +3 -0
  15. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/loss_by_layer_pair.png +3 -0
  16. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/checkpoints/final.pt +3 -0
  17. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/cf_distribution_per_class.png +3 -0
  18. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/cf_shift_per_class.png +3 -0
  19. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/class_distribution.png +3 -0
  20. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/loss_curves.png +3 -0
  21. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/rho_histogram.png +3 -0
  22. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/rho_theta_scatter.png +3 -0
  23. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/shared_geometry_histograms.png +3 -0
  24. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/shared_geometry_theta_vs_norm_ratio.png +3 -0
  25. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/superposition_analysis.png +3 -0
  26. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/cf_distribution_per_class.png +3 -0
  27. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/cf_shift_per_class.png +3 -0
  28. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/class_distribution.png +3 -0
  29. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/loss_curves.png +3 -0
  30. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/rho_histogram.png +3 -0
  31. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/rho_theta_scatter.png +3 -0
  32. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/shared_geometry_histograms.png +3 -0
  33. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/shared_geometry_theta_vs_norm_ratio.png +3 -0
  34. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/superposition_analysis.png +3 -0
  35. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/cf_distribution_per_class.png +3 -0
  36. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/cf_shift_per_class.png +3 -0
  37. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/class_distribution.png +3 -0
  38. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/loss_curves.png +3 -0
  39. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/rho_histogram.png +3 -0
  40. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/rho_theta_scatter.png +3 -0
  41. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/shared_geometry_histograms.png +3 -0
  42. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/shared_geometry_theta_vs_norm_ratio.png +3 -0
  43. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/superposition_analysis.png +3 -0
  44. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/checkpoints/final.pt +3 -0
  45. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/cf_distribution_per_class.png +3 -0
  46. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/cf_shift_per_class.png +3 -0
  47. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/class_distribution.png +3 -0
  48. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/loss_curves.png +3 -0
  49. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/rho_histogram.png +3 -0
  50. v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/rho_theta_scatter.png +3 -0
.gitattributes CHANGED
@@ -159,3 +159,9 @@ v2-samelayer/v1/assembled_activations/qwen3-4b-ppo/singlelayer_separate/base_L25
159
  v2-samelayer/v1/assembled_activations/qwen3-4b-ppo/singlelayer_separate/base_L23__aligned_L20/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
160
  v2-samelayer/v1/assembled_activations/llama32-3b-ppo/singlelayer_separate/L10/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
161
  v2-samelayer/v1/assembled_activations/llama32-3b-ppo/singlelayer_separate/L12/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
159
  v2-samelayer/v1/assembled_activations/qwen3-4b-ppo/singlelayer_separate/base_L23__aligned_L20/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
160
  v2-samelayer/v1/assembled_activations/llama32-3b-ppo/singlelayer_separate/L10/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
161
  v2-samelayer/v1/assembled_activations/llama32-3b-ppo/singlelayer_separate/L12/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
162
+ v2-samelayer/v1/assembled_activations/llama32-3b-kto/singlelayer_separate/base_L11__aligned_L24/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
163
+ v2-samelayer/v1/assembled_activations/llama32-3b-kto/singlelayer_separate/base_L12__aligned_L25/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
164
+ v2-samelayer/v1/assembled_activations/llama32-3b-kto/singlelayer_separate/base_L10__aligned_L23/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
165
+ v2-samelayer/v1/assembled_activations/llama32-3b-grpo/singlelayer_reduce/L12-14/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
166
+ v2-samelayer/v1/assembled_activations/smollm3-simpo/singlelayer_separate/base_L18__aligned_L17/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
167
+ v2-samelayer/v1/assembled_activations/smollm3-simpo/singlelayer_separate/base_L20__aligned_L19/features/superposition_analysis.json filter=lfs diff=lfs merge=lfs -text
v2-samelayer/assembled_activations/llama32-3b-simpo/features/counterfactual_scores.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-simpo/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-simpo/features/feature_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-simpo/features/merged_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-simpo/features/superposition_analysis.json ADDED
The diff for this file is too large to render. See raw diff
 
v2-samelayer/assembled_activations/llama32-3b-simpo/metrics/aggregate_metrics.json ADDED
@@ -0,0 +1,390 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crosscoder_kind": "multilayer_sparc",
3
+ "layers": [
4
+ 10,
5
+ 11,
6
+ 12
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": 7032,
15
+ "shared_intermediate": 6309,
16
+ "base_only": 4631,
17
+ "shared_redirected": 3294,
18
+ "shared_attenuated": 1746,
19
+ "shared_aligned": 1564
20
+ },
21
+ "multilayer_class_counts": {
22
+ "drifting_or_rotating": 9101,
23
+ "persistent_aligned_only": 4366,
24
+ "persistent_shared": 3358,
25
+ "localized_aligned_only": 2666,
26
+ "persistent_base_only": 2377,
27
+ "localized_base_only": 2254,
28
+ "mixed_or_ambiguous": 454
29
+ },
30
+ "classification_thresholds": {
31
+ "rho_base_only": 0.4,
32
+ "rho_aligned_only": 0.5646282217167712,
33
+ "rho_shared_low": 0.43133134923386174,
34
+ "rho_shared_high": 0.5646282217167712
35
+ },
36
+ "threshold_sensitivity": {
37
+ "original": {
38
+ "aligned_only": 7032,
39
+ "shared_intermediate": 6309,
40
+ "base_only": 4631,
41
+ "shared_redirected": 3294,
42
+ "shared_attenuated": 1746,
43
+ "shared_aligned": 1564
44
+ },
45
+ "perturbed": {
46
+ "delta_-0.05": {
47
+ "base_only": 1938,
48
+ "aligned_only": 4114,
49
+ "shared_aligned": 1612,
50
+ "shared_redirected": 5669,
51
+ "shared_intermediate": 9535,
52
+ "shared_attenuated": 1708,
53
+ "other": 0
54
+ },
55
+ "delta_+0.05": {
56
+ "base_only": 7615,
57
+ "aligned_only": 10576,
58
+ "shared_aligned": 1486,
59
+ "shared_redirected": 872,
60
+ "shared_intermediate": 1690,
61
+ "shared_attenuated": 2337,
62
+ "other": 0
63
+ }
64
+ },
65
+ "perturbation": 0.05
66
+ },
67
+ "class_counts_by_layer": {
68
+ "10": {
69
+ "shared_intermediate": 7093,
70
+ "shared_redirected": 5890,
71
+ "base_only": 5623,
72
+ "shared_aligned": 3521,
73
+ "aligned_only": 2449
74
+ },
75
+ "11": {
76
+ "shared_attenuated": 8771,
77
+ "other": 5527,
78
+ "shared_intermediate": 4647,
79
+ "shared_redirected": 2565,
80
+ "shared_aligned": 1389,
81
+ "base_only": 1060,
82
+ "aligned_only": 617
83
+ },
84
+ "12": {
85
+ "shared_redirected": 9538,
86
+ "shared_intermediate": 5957,
87
+ "base_only": 3856,
88
+ "shared_aligned": 3719,
89
+ "aligned_only": 1506
90
+ }
91
+ },
92
+ "feature_sharing_ratio_by_layer": {
93
+ "10": 0.6715494791666666,
94
+ "11": 0.7068684895833334,
95
+ "12": 0.7818196614583334
96
+ },
97
+ "decoder_amplification_by_layer": {
98
+ "10": {
99
+ "median": 0.9999999870874021,
100
+ "p95": 5.846633247470493
101
+ },
102
+ "11": {
103
+ "median": 0.9999999890566127,
104
+ "p95": 2.8997828111006294
105
+ },
106
+ "12": {
107
+ "median": 0.999999988812232,
108
+ "p95": 3.348760753383095
109
+ }
110
+ },
111
+ "classification_thresholds_by_layer": {
112
+ "10": {
113
+ "rho_base_only": 0.3298648264878633,
114
+ "rho_aligned_only": 0.7696755668389346,
115
+ "rho_shared_low": 0.3298648264878633,
116
+ "rho_shared_high": 0.7696755668389346
117
+ },
118
+ "11": {
119
+ "rho_base_only": 0.2341652512550354,
120
+ "rho_aligned_only": 0.8046609088778496,
121
+ "rho_shared_low": 0.46459993720054626,
122
+ "rho_shared_high": 0.6093218177556992
123
+ },
124
+ "12": {
125
+ "rho_base_only": 0.33508244103501,
126
+ "rho_aligned_only": 0.7473176242691034,
127
+ "rho_shared_low": 0.33508244103501,
128
+ "rho_shared_high": 0.7473176242691034
129
+ }
130
+ },
131
+ "threshold_sensitivity_by_layer": {
132
+ "10": {
133
+ "original": {
134
+ "shared_intermediate": 7093,
135
+ "shared_redirected": 5890,
136
+ "base_only": 5623,
137
+ "shared_aligned": 3521,
138
+ "aligned_only": 2449
139
+ },
140
+ "perturbed": {
141
+ "delta_-0.05": {
142
+ "base_only": 3901,
143
+ "aligned_only": 1675,
144
+ "shared_aligned": 4473,
145
+ "shared_redirected": 6604,
146
+ "shared_intermediate": 7923,
147
+ "shared_attenuated": 0,
148
+ "other": 0
149
+ },
150
+ "delta_+0.05": {
151
+ "base_only": 7427,
152
+ "aligned_only": 3600,
153
+ "shared_aligned": 2604,
154
+ "shared_redirected": 4977,
155
+ "shared_intermediate": 5968,
156
+ "shared_attenuated": 0,
157
+ "other": 0
158
+ }
159
+ },
160
+ "perturbation": 0.05
161
+ },
162
+ "11": {
163
+ "original": {
164
+ "shared_attenuated": 8771,
165
+ "other": 5527,
166
+ "shared_intermediate": 4647,
167
+ "shared_redirected": 2565,
168
+ "shared_aligned": 1389,
169
+ "base_only": 1060,
170
+ "aligned_only": 617
171
+ },
172
+ "perturbed": {
173
+ "delta_-0.05": {
174
+ "base_only": 637,
175
+ "aligned_only": 374,
176
+ "shared_aligned": 2466,
177
+ "shared_redirected": 3929,
178
+ "shared_intermediate": 7325,
179
+ "shared_attenuated": 6633,
180
+ "other": 3212
181
+ },
182
+ "delta_+0.05": {
183
+ "base_only": 1818,
184
+ "aligned_only": 1085,
185
+ "shared_aligned": 54,
186
+ "shared_redirected": 814,
187
+ "shared_intermediate": 1509,
188
+ "shared_attenuated": 11833,
189
+ "other": 7463
190
+ }
191
+ },
192
+ "perturbation": 0.05
193
+ },
194
+ "12": {
195
+ "original": {
196
+ "shared_redirected": 9538,
197
+ "shared_intermediate": 5957,
198
+ "base_only": 3856,
199
+ "shared_aligned": 3719,
200
+ "aligned_only": 1506
201
+ },
202
+ "perturbed": {
203
+ "delta_-0.05": {
204
+ "base_only": 2386,
205
+ "aligned_only": 972,
206
+ "shared_aligned": 4290,
207
+ "shared_redirected": 10373,
208
+ "shared_intermediate": 6555,
209
+ "shared_attenuated": 0,
210
+ "other": 0
211
+ },
212
+ "delta_+0.05": {
213
+ "base_only": 6109,
214
+ "aligned_only": 2494,
215
+ "shared_aligned": 2781,
216
+ "shared_redirected": 8206,
217
+ "shared_intermediate": 4986,
218
+ "shared_attenuated": 0,
219
+ "other": 0
220
+ }
221
+ },
222
+ "perturbation": 0.05
223
+ }
224
+ },
225
+ "counterfactual_shift_by_layer": {
226
+ "10": {
227
+ "aligned_only": {
228
+ "mean_shift": 3.2320919899215418e-06,
229
+ "median_shift": 0.0,
230
+ "p95_abs_shift": 0.0,
231
+ "count": 7032
232
+ },
233
+ "base_only": {
234
+ "mean_shift": -3.5814365136129003e-06,
235
+ "median_shift": 0.0,
236
+ "p95_abs_shift": 0.0,
237
+ "count": 4631
238
+ },
239
+ "shared_aligned": {
240
+ "mean_shift": 5.724467744014439e-05,
241
+ "median_shift": 0.0,
242
+ "p95_abs_shift": 0.07152953743934631,
243
+ "count": 1564
244
+ },
245
+ "shared_attenuated": {
246
+ "mean_shift": -4.0716883922622904e-07,
247
+ "median_shift": 0.0,
248
+ "p95_abs_shift": 0.0,
249
+ "count": 1746
250
+ },
251
+ "shared_intermediate": {
252
+ "mean_shift": -7.30478225800923e-08,
253
+ "median_shift": 0.0,
254
+ "p95_abs_shift": 0.0,
255
+ "count": 6309
256
+ },
257
+ "shared_redirected": {
258
+ "mean_shift": 4.9160252745138344e-08,
259
+ "median_shift": 0.0,
260
+ "p95_abs_shift": 0.0,
261
+ "count": 3294
262
+ }
263
+ },
264
+ "11": {
265
+ "aligned_only": {
266
+ "mean_shift": 1.867720686331114e-05,
267
+ "median_shift": 0.0,
268
+ "p95_abs_shift": 0.0,
269
+ "count": 7032
270
+ },
271
+ "base_only": {
272
+ "mean_shift": -1.9894835705085598e-05,
273
+ "median_shift": 0.0,
274
+ "p95_abs_shift": 0.0,
275
+ "count": 4631
276
+ },
277
+ "shared_aligned": {
278
+ "mean_shift": 7.235741871226919e-05,
279
+ "median_shift": 0.0,
280
+ "p95_abs_shift": 0.0822630167007446,
281
+ "count": 1564
282
+ },
283
+ "shared_attenuated": {
284
+ "mean_shift": -3.471290511984925e-06,
285
+ "median_shift": 0.0,
286
+ "p95_abs_shift": 0.0,
287
+ "count": 1746
288
+ },
289
+ "shared_intermediate": {
290
+ "mean_shift": 8.675455243721306e-08,
291
+ "median_shift": 0.0,
292
+ "p95_abs_shift": 0.0,
293
+ "count": 6309
294
+ },
295
+ "shared_redirected": {
296
+ "mean_shift": -3.6504596481600716e-07,
297
+ "median_shift": 0.0,
298
+ "p95_abs_shift": 0.0,
299
+ "count": 3294
300
+ }
301
+ },
302
+ "12": {
303
+ "aligned_only": {
304
+ "mean_shift": 1.7178416289861293e-05,
305
+ "median_shift": 0.0,
306
+ "p95_abs_shift": 0.0,
307
+ "count": 7032
308
+ },
309
+ "base_only": {
310
+ "mean_shift": -1.7390496993661782e-05,
311
+ "median_shift": 0.0,
312
+ "p95_abs_shift": 0.0,
313
+ "count": 4631
314
+ },
315
+ "shared_aligned": {
316
+ "mean_shift": 0.00016059010712473373,
317
+ "median_shift": 0.0,
318
+ "p95_abs_shift": 0.08721660748124122,
319
+ "count": 1564
320
+ },
321
+ "shared_attenuated": {
322
+ "mean_shift": -4.775544404814352e-06,
323
+ "median_shift": 0.0,
324
+ "p95_abs_shift": 0.0,
325
+ "count": 1746
326
+ },
327
+ "shared_intermediate": {
328
+ "mean_shift": -4.4374906589709826e-08,
329
+ "median_shift": 0.0,
330
+ "p95_abs_shift": 0.0,
331
+ "count": 6309
332
+ },
333
+ "shared_redirected": {
334
+ "mean_shift": 3.799928669689255e-07,
335
+ "median_shift": 0.0,
336
+ "p95_abs_shift": 0.0,
337
+ "count": 3294
338
+ }
339
+ }
340
+ },
341
+ "total_features": 24576,
342
+ "fve_base": 0.6715279371326507,
343
+ "fve_aligned": 0.662245636523082,
344
+ "fve_base_by_layer": [
345
+ 0.6305625454293495,
346
+ 0.6942680309580259,
347
+ 0.6897531785265938
348
+ ],
349
+ "fve_aligned_by_layer": [
350
+ 0.6188769243774613,
351
+ 0.6861868694190579,
352
+ 0.6816730599128763
353
+ ],
354
+ "val_fve_base_by_layer": [
355
+ 0.6305625454293495,
356
+ 0.6942680309580259,
357
+ 0.6897531785265938
358
+ ],
359
+ "val_fve_aligned_by_layer": [
360
+ 0.6188769243774613,
361
+ 0.6861868694190579,
362
+ 0.6816730599128763
363
+ ],
364
+ "dead_neuron_fraction": 0.9593874006958921,
365
+ "l0_sparsity_base": 64.82328354345033,
366
+ "l0_sparsity_aligned": 63.5290322557083,
367
+ "l0_base_by_layer": [
368
+ 47.34114127262113,
369
+ 68.14484821949796,
370
+ 78.9838550788091
371
+ ],
372
+ "l0_aligned_by_layer": [
373
+ 46.07039915353182,
374
+ 66.73431115002919,
375
+ 77.78238105662581
376
+ ],
377
+ "val_l0_base": 66.31130234483649,
378
+ "val_l0_aligned": 64.88672773750665,
379
+ "val_l0_base_by_layer": [
380
+ 48.44813481675393,
381
+ 69.85569371727749,
382
+ 80.6300719895288
383
+ ],
384
+ "val_l0_aligned_by_layer": [
385
+ 46.990892240514306,
386
+ 68.39632419765931,
387
+ 79.27296032331377
388
+ ],
389
+ "superposition_fraction": 0.0
390
+ }
v2-samelayer/assembled_activations/llama32-3b-simpo/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
+ 0.05927932382030092,
14
+ 0.03255366562918412,
15
+ 0.03115293783746264,
16
+ 0.030371403902273254,
17
+ 0.02979045822211719,
18
+ 0.02931892105268931,
19
+ 0.028975081874163124,
20
+ 0.02878278101344799
21
+ ],
22
+ "val_loss": [
23
+ 0.033846099475759485,
24
+ 0.032007066728010854,
25
+ 0.031248764461637792,
26
+ 0.030814522370227967,
27
+ 0.030503301778856996,
28
+ 0.030317795097203778,
29
+ 0.030241612618038167,
30
+ 0.030229815228291206
31
+ ],
32
+ "train_fve_base": [
33
+ 0.503612844223043,
34
+ 0.6349237019808336,
35
+ 0.6552128129303282,
36
+ 0.6672707846550238,
37
+ 0.6764131289647465,
38
+ 0.6837705131587548,
39
+ 0.688966876536312,
40
+ 0.6917263760388559
41
+ ],
42
+ "train_fve_aligned": [
43
+ 0.49909401890992744,
44
+ 0.6284301312639222,
45
+ 0.6463590448736379,
46
+ 0.6569368737661135,
47
+ 0.6652233918299121,
48
+ 0.6720354633935348,
49
+ 0.676885349633606,
50
+ 0.6794380337191268
51
+ ],
52
+ "val_fve_base": [
53
+ 0.6182141828287334,
54
+ 0.6435623983438102,
55
+ 0.6547190727987838,
56
+ 0.6613033850779708,
57
+ 0.6664242657067264,
58
+ 0.6696532880448546,
59
+ 0.671212948429647,
60
+ 0.6715279371326507
61
+ ],
62
+ "val_fve_aligned": [
63
+ 0.613135617752974,
64
+ 0.6363836629852575,
65
+ 0.6465314929397943,
66
+ 0.6526829559765561,
67
+ 0.6575311690724958,
68
+ 0.6605612236167748,
69
+ 0.6619636584950991,
70
+ 0.662245636523082
71
+ ],
72
+ "val_fve_base_by_layer": [
73
+ [
74
+ 0.5780349083595875,
75
+ 0.6430585827502905,
76
+ 0.633548992466552
77
+ ],
78
+ [
79
+ 0.6026088904335861,
80
+ 0.6670344584275291,
81
+ 0.6610437787640158
82
+ ],
83
+ [
84
+ 0.6138415374056831,
85
+ 0.6778382768181606,
86
+ 0.6724773370782743
87
+ ],
88
+ [
89
+ 0.6206396946108154,
90
+ 0.6839593848632892,
91
+ 0.6793110280136787
92
+ ],
93
+ [
94
+ 0.6254869090949053,
95
+ 0.6891793920731669,
96
+ 0.6846064441491172
97
+ ],
98
+ [
99
+ 0.6288681657526506,
100
+ 0.6923003037562545,
101
+ 0.6877913343968816
102
+ ],
103
+ [
104
+ 0.6302341993566583,
105
+ 0.6938901640357772,
106
+ 0.6895144166746688
107
+ ],
108
+ [
109
+ 0.6305625454293495,
110
+ 0.6942680309580259,
111
+ 0.6897531785265938
112
+ ]
113
+ ],
114
+ "val_fve_aligned_by_layer": [
115
+ [
116
+ 0.5722053659523969,
117
+ 0.6384917887717642,
118
+ 0.6287096414266456
119
+ ],
120
+ [
121
+ 0.5942014565018459,
122
+ 0.6606073991166359,
123
+ 0.6543420678033879
124
+ ],
125
+ [
126
+ 0.6036381100484838,
127
+ 0.6709235947169558,
128
+ 0.6650327238112844
129
+ ],
130
+ [
131
+ 0.609793980708297,
132
+ 0.676685466816288,
133
+ 0.6715693632969681
134
+ ],
135
+ [
136
+ 0.6141581582149286,
137
+ 0.6816896346851169,
138
+ 0.6767456603299885
139
+ ],
140
+ [
141
+ 0.6174167641170362,
142
+ 0.6844394194518084,
143
+ 0.6798274301733646
144
+ ],
145
+ [
146
+ 0.6185780351698711,
147
+ 0.6858815141997412,
148
+ 0.6814313761850926
149
+ ],
150
+ [
151
+ 0.6188769243774613,
152
+ 0.6861868694190579,
153
+ 0.6816730599128763
154
+ ]
155
+ ],
156
+ "train_fve_base_by_layer": [
157
+ [
158
+ 0.4677472282277167,
159
+ 0.5262350366258928,
160
+ 0.5168562211700858
161
+ ],
162
+ [
163
+ 0.5941825219920972,
164
+ 0.6585408136709628,
165
+ 0.6520477089350222
166
+ ],
167
+ [
168
+ 0.6142003669491026,
169
+ 0.6779960200094857,
170
+ 0.6734419917406148
171
+ ],
172
+ [
173
+ 0.6260286404664797,
174
+ 0.6899296233894807,
175
+ 0.6858540300869204
176
+ ],
177
+ [
178
+ 0.6346775183744481,
179
+ 0.6991928598369971,
180
+ 0.6953689465032846
181
+ ],
182
+ [
183
+ 0.6413471689714163,
184
+ 0.7068967281623814,
185
+ 0.7030675794670475
186
+ ],
187
+ [
188
+ 0.645974550411427,
189
+ 0.7123980270932448,
190
+ 0.7085279913861642
191
+ ],
192
+ [
193
+ 0.6484792617699311,
194
+ 0.7152978126514188,
195
+ 0.7114019931510952
196
+ ]
197
+ ],
198
+ "train_fve_aligned_by_layer": [
199
+ [
200
+ 0.4632670403361947,
201
+ 0.5220091638687544,
202
+ 0.5120058040554872
203
+ ],
204
+ [
205
+ 0.5868167219214876,
206
+ 0.6527098008087345,
207
+ 0.6457638119440363
208
+ ],
209
+ [
210
+ 0.6038263409164171,
211
+ 0.6701786429716423,
212
+ 0.6650720916153462
213
+ ],
214
+ [
215
+ 0.6137546507921124,
216
+ 0.6809061225297085,
217
+ 0.6761497881978976
218
+ ],
219
+ [
220
+ 0.6210833272249185,
221
+ 0.6895746217091322,
222
+ 0.685012164898108
223
+ ],
224
+ [
225
+ 0.6268049689043493,
226
+ 0.6969297279479276,
227
+ 0.692371636472525
228
+ ],
229
+ [
230
+ 0.6309437568745833,
231
+ 0.7021611605689878,
232
+ 0.6975510722353524
233
+ ],
234
+ [
235
+ 0.6331689965634477,
236
+ 0.7048862822836627,
237
+ 0.7002587634363302
238
+ ]
239
+ ],
240
+ "dead_neurons": [
241
+ 0.8715425254097475,
242
+ 0.9557898779118611,
243
+ 0.961711463702748,
244
+ 0.9616781369817236,
245
+ 0.9606253722224817,
246
+ 0.9598153939876234,
247
+ 0.9594147409254253,
248
+ 0.9593874006958921
249
+ ],
250
+ "l0_base": [
251
+ 110.7568565675966,
252
+ 59.56439248623378,
253
+ 59.25963353136444,
254
+ 60.706109090917515,
255
+ 62.3549953445105,
256
+ 63.71940258268856,
257
+ 64.55443870290566,
258
+ 64.82328354345033
259
+ ],
260
+ "l0_aligned": [
261
+ 109.46531757414863,
262
+ 58.278739833442074,
263
+ 58.12394318856207,
264
+ 59.642915827032425,
265
+ 61.2593235343225,
266
+ 62.529463801965754,
267
+ 63.29711094114144,
268
+ 63.5290322557083
269
+ ],
270
+ "l0_base_by_layer": [
271
+ [
272
+ 93.83470154699359,
273
+ 118.0552393461763,
274
+ 120.38061879743141
275
+ ],
276
+ [
277
+ 43.45864346176299,
278
+ 63.35460449503795,
279
+ 71.87992556917688
280
+ ],
281
+ [
282
+ 43.179728546409805,
283
+ 62.33630691768827,
284
+ 72.2628612084063
285
+ ],
286
+ [
287
+ 44.387076765907764,
288
+ 63.711981903093985,
289
+ 74.01926444833626
290
+ ],
291
+ [
292
+ 45.60799766491535,
293
+ 65.49543928779919,
294
+ 75.96154407472271
295
+ ],
296
+ [
297
+ 46.5932209573847,
298
+ 66.9508720081728,
299
+ 77.61410901926445
300
+ ],
301
+ [
302
+ 47.15878575598366,
303
+ 67.86980078809107,
304
+ 78.63472343841214
305
+ ],
306
+ [
307
+ 47.34114127262113,
308
+ 68.14484821949796,
309
+ 78.9838550788091
310
+ ]
311
+ ],
312
+ "l0_aligned_by_layer": [
313
+ [
314
+ 92.87680604203152,
315
+ 116.69826328079392,
316
+ 118.8208734676007
317
+ ],
318
+ [
319
+ 42.17456582019848,
320
+ 62.11866973146527,
321
+ 70.5429801517805
322
+ ],
323
+ [
324
+ 41.8616097489784,
325
+ 61.297577349678924,
326
+ 71.2126386456509
327
+ ],
328
+ [
329
+ 43.14568739054291,
330
+ 62.718056771745474,
331
+ 73.06499927028605
332
+ ],
333
+ [
334
+ 44.36987375948628,
335
+ 64.42671847635727,
336
+ 74.98137405137186
337
+ ],
338
+ [
339
+ 45.319158639813196,
340
+ 65.73668272037361,
341
+ 76.53254524226503
342
+ ],
343
+ [
344
+ 45.89940893169877,
345
+ 66.51408347927612,
346
+ 77.47783493870404
347
+ ],
348
+ [
349
+ 46.07039915353182,
350
+ 66.73431115002919,
351
+ 77.78238105662581
352
+ ]
353
+ ],
354
+ "val_l0_base": [
355
+ 62.84433352884822,
356
+ 60.29535830832277,
357
+ 61.20708046159195,
358
+ 62.52763392663127,
359
+ 64.26254554069479,
360
+ 65.39581746206234,
361
+ 66.14812595307515,
362
+ 66.31130234483649
363
+ ],
364
+ "val_l0_aligned": [
365
+ 61.65801482674963,
366
+ 58.96664246963581,
367
+ 59.968006054144254,
368
+ 61.42377619718382,
369
+ 63.13096464866119,
370
+ 64.15648820887061,
371
+ 64.74734806639987,
372
+ 64.88672773750665
373
+ ],
374
+ "val_l0_base_by_layer": [
375
+ [
376
+ 46.69628055432704,
377
+ 67.60760254385583,
378
+ 74.2291121557745
379
+ ],
380
+ [
381
+ 44.08933246073298,
382
+ 63.24301920386509,
383
+ 73.55371948561744
384
+ ],
385
+ [
386
+ 44.62358203109022,
387
+ 64.35722079451796,
388
+ 74.6404341453033
389
+ ],
390
+ [
391
+ 45.78910340314136,
392
+ 65.5068172035417,
393
+ 76.28697643979058
394
+ ],
395
+ [
396
+ 46.838787098829656,
397
+ 67.65003272251309,
398
+ 78.29881110865408
399
+ ],
400
+ [
401
+ 47.84876746532181,
402
+ 68.77879581151832,
403
+ 79.55988219895288
404
+ ],
405
+ [
406
+ 48.298047570033845,
407
+ 69.62587262697869,
408
+ 80.52045157068063
409
+ ],
410
+ [
411
+ 48.44813481675393,
412
+ 69.85569371727749,
413
+ 80.6300719895288
414
+ ]
415
+ ],
416
+ "val_l0_aligned_by_layer": [
417
+ [
418
+ 45.42937391590698,
419
+ 66.43193717277487,
420
+ 73.11272905759162
421
+ ],
422
+ [
423
+ 42.52116056512163,
424
+ 62.154504805959334,
425
+ 72.22425830301815
426
+ ],
427
+ [
428
+ 43.128981245749905,
429
+ 63.41393979057592,
430
+ 73.36109293193718
431
+ ],
432
+ [
433
+ 44.41513962271326,
434
+ 64.71924083769633,
435
+ 75.13694371727749
436
+ ],
437
+ [
438
+ 45.48292976898673,
439
+ 66.78866712959649,
440
+ 77.12129147514622
441
+ ],
442
+ [
443
+ 46.53888526636893,
444
+ 67.60274869109948,
445
+ 78.32782505694485
446
+ ],
447
+ [
448
+ 46.87685428239912,
449
+ 68.23958335996298,
450
+ 79.12559992605479
451
+ ],
452
+ [
453
+ 46.990892240514306,
454
+ 68.39632419765931,
455
+ 79.27296032331377
456
+ ]
457
+ ],
458
+ "self_recon": [
459
+ 0.027993987802083356,
460
+ 0.020580280668407207,
461
+ 0.019489796229263563,
462
+ 0.018846164809260463,
463
+ 0.018348425166802105,
464
+ 0.017941102601361603,
465
+ 0.017650670092498533,
466
+ 0.01749732045938467
467
+ ],
468
+ "cross_recon": [
469
+ 0.028028677605305648,
470
+ 0.02058453171394909,
471
+ 0.019495135330868548,
472
+ 0.018860481901260683,
473
+ 0.018386862897496265,
474
+ 0.018007030048376626,
475
+ 0.01773270223207089,
476
+ 0.017584875620731955
477
+ ],
478
+ "sparsity": [
479
+ 0.020073864794261775,
480
+ 0.0037395720159709976,
481
+ 0.00386508731269351,
482
+ 0.0039810461591020165,
483
+ 0.004087287744385409,
484
+ 0.004175006297253338,
485
+ 0.004231330718039396,
486
+ 0.004251510163788699
487
+ ],
488
+ "val_self_recon": [
489
+ 0.021518522912529127,
490
+ 0.020130771841288236,
491
+ 0.01952393066274558,
492
+ 0.019163148765359562,
493
+ 0.01887795397358415,
494
+ 0.018701545738112862,
495
+ 0.018615932642672386,
496
+ 0.018599209112373633
497
+ ],
498
+ "val_cross_recon": [
499
+ 0.021522300454412457,
500
+ 0.020133654884408905,
501
+ 0.019527446098274587,
502
+ 0.019169504778625453,
503
+ 0.018888392441793887,
504
+ 0.01871574230745669,
505
+ 0.01863224525979832,
506
+ 0.018615821108261016
507
+ ],
508
+ "val_sparsity": [
509
+ 0.0037186559794363397,
510
+ 0.003822832755959003,
511
+ 0.003913855225247629,
512
+ 0.003983571632955399,
513
+ 0.004069990641803174,
514
+ 0.004129952197670156,
515
+ 0.004172781662752179,
516
+ 0.004184277574604874
517
+ ],
518
+ "layers": [
519
+ 10,
520
+ 11,
521
+ 12
522
+ ],
523
+ "topk_mode": "model_balanced_layer_agg"
524
+ }
v2-samelayer/assembled_activations/qwen3-4b-kto/metrics/aggregate_metrics.json ADDED
@@ -0,0 +1,285 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 20480,
12
+ "forced_shared_fraction": 0.06,
13
+ "class_counts": {
14
+ "base_only": 20446,
15
+ "aligned_only": 34
16
+ },
17
+ "multilayer_class_counts": {
18
+ "persistent_base_only": 20264,
19
+ "localized_base_only": 182,
20
+ "persistent_aligned_only": 28,
21
+ "localized_aligned_only": 6
22
+ },
23
+ "classification_thresholds": {
24
+ "rho_base_only": 0.5752362247796677,
25
+ "rho_aligned_only": 0.5752362247796677,
26
+ "rho_shared_low": 0.5752362247796677,
27
+ "rho_shared_high": 0.5752362247796677
28
+ },
29
+ "threshold_sensitivity": {
30
+ "original": {
31
+ "base_only": 20446,
32
+ "aligned_only": 34
33
+ },
34
+ "perturbed": {
35
+ "delta_-0.05": {
36
+ "base_only": 19045,
37
+ "aligned_only": 20,
38
+ "shared_aligned": 60,
39
+ "shared_redirected": 609,
40
+ "shared_intermediate": 746,
41
+ "shared_attenuated": 0,
42
+ "other": 0
43
+ },
44
+ "delta_+0.05": {
45
+ "base_only": 20460,
46
+ "aligned_only": 20,
47
+ "shared_aligned": 0,
48
+ "shared_redirected": 0,
49
+ "shared_intermediate": 0,
50
+ "shared_attenuated": 0,
51
+ "other": 0
52
+ }
53
+ },
54
+ "perturbation": 0.05
55
+ },
56
+ "class_counts_by_layer": {
57
+ "23": {
58
+ "base_only": 12001,
59
+ "aligned_only": 8479
60
+ },
61
+ "24": {
62
+ "base_only": 14211,
63
+ "aligned_only": 6269
64
+ },
65
+ "25": {
66
+ "base_only": 17596,
67
+ "aligned_only": 2884
68
+ }
69
+ },
70
+ "feature_sharing_ratio_by_layer": {
71
+ "23": 0.0,
72
+ "24": 0.0,
73
+ "25": 0.0
74
+ },
75
+ "decoder_amplification_by_layer": {
76
+ "23": {
77
+ "median": 1.0005609317964073,
78
+ "p95": 1.2618952839280162
79
+ },
80
+ "24": {
81
+ "median": 1.0007999503599225,
82
+ "p95": 1.17724912678126
83
+ },
84
+ "25": {
85
+ "median": 1.0003766957848002,
86
+ "p95": 1.1570640562685979
87
+ }
88
+ },
89
+ "classification_thresholds_by_layer": {
90
+ "23": {
91
+ "rho_base_only": 0.5074235612843079,
92
+ "rho_aligned_only": 0.5074235612843079,
93
+ "rho_shared_low": 0.5074235612843079,
94
+ "rho_shared_high": 0.5074235612843079
95
+ },
96
+ "24": {
97
+ "rho_base_only": 0.5127435066483077,
98
+ "rho_aligned_only": 0.5127435066483077,
99
+ "rho_shared_low": 0.5127435066483077,
100
+ "rho_shared_high": 0.5127435066483077
101
+ },
102
+ "25": {
103
+ "rho_base_only": 0.5240909237134969,
104
+ "rho_aligned_only": 0.5240909237134969,
105
+ "rho_shared_low": 0.5240909237134969,
106
+ "rho_shared_high": 0.5240909237134969
107
+ }
108
+ },
109
+ "threshold_sensitivity_by_layer": {
110
+ "23": {
111
+ "original": {
112
+ "base_only": 12001,
113
+ "aligned_only": 8479
114
+ },
115
+ "perturbed": {
116
+ "delta_-0.05": {
117
+ "base_only": 1563,
118
+ "aligned_only": 1045,
119
+ "shared_aligned": 1557,
120
+ "shared_redirected": 7734,
121
+ "shared_intermediate": 8581,
122
+ "shared_attenuated": 0,
123
+ "other": 0
124
+ },
125
+ "delta_+0.05": {
126
+ "base_only": 19435,
127
+ "aligned_only": 1045,
128
+ "shared_aligned": 0,
129
+ "shared_redirected": 0,
130
+ "shared_intermediate": 0,
131
+ "shared_attenuated": 0,
132
+ "other": 0
133
+ }
134
+ },
135
+ "perturbation": 0.05
136
+ },
137
+ "24": {
138
+ "original": {
139
+ "base_only": 14211,
140
+ "aligned_only": 6269
141
+ },
142
+ "perturbed": {
143
+ "delta_-0.05": {
144
+ "base_only": 943,
145
+ "aligned_only": 234,
146
+ "shared_aligned": 1629,
147
+ "shared_redirected": 8466,
148
+ "shared_intermediate": 9208,
149
+ "shared_attenuated": 0,
150
+ "other": 0
151
+ },
152
+ "delta_+0.05": {
153
+ "base_only": 20246,
154
+ "aligned_only": 234,
155
+ "shared_aligned": 0,
156
+ "shared_redirected": 0,
157
+ "shared_intermediate": 0,
158
+ "shared_attenuated": 0,
159
+ "other": 0
160
+ }
161
+ },
162
+ "perturbation": 0.05
163
+ },
164
+ "25": {
165
+ "original": {
166
+ "base_only": 17596,
167
+ "aligned_only": 2884
168
+ },
169
+ "perturbed": {
170
+ "delta_-0.05": {
171
+ "base_only": 1923,
172
+ "aligned_only": 53,
173
+ "shared_aligned": 1772,
174
+ "shared_redirected": 7336,
175
+ "shared_intermediate": 9396,
176
+ "shared_attenuated": 0,
177
+ "other": 0
178
+ },
179
+ "delta_+0.05": {
180
+ "base_only": 20427,
181
+ "aligned_only": 53,
182
+ "shared_aligned": 0,
183
+ "shared_redirected": 0,
184
+ "shared_intermediate": 0,
185
+ "shared_attenuated": 0,
186
+ "other": 0
187
+ }
188
+ },
189
+ "perturbation": 0.05
190
+ }
191
+ },
192
+ "counterfactual_shift_by_layer": {
193
+ "23": {
194
+ "aligned_only": {
195
+ "mean_shift": 0.03596737315232237,
196
+ "median_shift": 0.0034826407209038734,
197
+ "p95_abs_shift": 1.2365773677825853,
198
+ "count": 34
199
+ },
200
+ "base_only": {
201
+ "mean_shift": 0.006747033188340066,
202
+ "median_shift": 0.0,
203
+ "p95_abs_shift": 0.0,
204
+ "count": 20446
205
+ }
206
+ },
207
+ "24": {
208
+ "aligned_only": {
209
+ "mean_shift": 0.061009126121301535,
210
+ "median_shift": 0.00574851781129837,
211
+ "p95_abs_shift": 3.816008388996122,
212
+ "count": 34
213
+ },
214
+ "base_only": {
215
+ "mean_shift": 0.0008255765313785287,
216
+ "median_shift": 0.0,
217
+ "p95_abs_shift": 0.0,
218
+ "count": 20446
219
+ }
220
+ },
221
+ "25": {
222
+ "aligned_only": {
223
+ "mean_shift": 0.06269336040885023,
224
+ "median_shift": 0.0035333335399627686,
225
+ "p95_abs_shift": 4.767869997024535,
226
+ "count": 34
227
+ },
228
+ "base_only": {
229
+ "mean_shift": 0.002443267220301656,
230
+ "median_shift": 0.0,
231
+ "p95_abs_shift": 0.0,
232
+ "count": 20446
233
+ }
234
+ }
235
+ },
236
+ "total_features": 20480,
237
+ "fve_base": 0.8652311547888512,
238
+ "fve_aligned": 0.8695185892869041,
239
+ "fve_base_by_layer": [
240
+ 0.855601489855981,
241
+ 0.869883322902999,
242
+ 0.870208601989047
243
+ ],
244
+ "fve_aligned_by_layer": [
245
+ 0.8496601116594844,
246
+ 0.8785307847392496,
247
+ 0.8803648071763404
248
+ ],
249
+ "val_fve_base_by_layer": [
250
+ 0.855601489855981,
251
+ 0.869883322902999,
252
+ 0.870208601989047
253
+ ],
254
+ "val_fve_aligned_by_layer": [
255
+ 0.8496601116594844,
256
+ 0.8785307847392496,
257
+ 0.8803648071763404
258
+ ],
259
+ "dead_neuron_fraction": 0.9717595683714136,
260
+ "l0_sparsity_base": 192.9452220072749,
261
+ "l0_sparsity_aligned": 190.4826256461959,
262
+ "l0_base_by_layer": [
263
+ 179.48420169293638,
264
+ 199.32709427904263,
265
+ 200.02435420315237
266
+ ],
267
+ "l0_aligned_by_layer": [
268
+ 171.62883099824867,
269
+ 199.84469862813776,
270
+ 199.9743323117338
271
+ ],
272
+ "val_l0_base": 193.73686162339456,
273
+ "val_l0_aligned": 191.17527051995563,
274
+ "val_l0_base_by_layer": [
275
+ 180.31806282722513,
276
+ 200.10749345549738,
277
+ 200.78501308900525
278
+ ],
279
+ "val_l0_aligned_by_layer": [
280
+ 172.2114965628579,
281
+ 200.59653141361255,
282
+ 200.71776832460733
283
+ ],
284
+ "superposition_fraction": 0.0
285
+ }
v2-samelayer/assembled_activations/qwen3-4b-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
+ 6.76028403850306,
14
+ 3.9046143639943645,
15
+ 3.228121579215322,
16
+ 2.8597300035245086,
17
+ 2.6493724942276926,
18
+ 2.5051394429599343,
19
+ 2.421490961741232,
20
+ 2.3844429846054895
21
+ ],
22
+ "val_loss": [
23
+ 4.92824076545176,
24
+ 3.5071735194840357,
25
+ 2.835419489451104,
26
+ 2.7412732852066997,
27
+ 2.378037657413183,
28
+ 2.2228937086634613,
29
+ 2.1669304046331277,
30
+ 2.1560567779690807
31
+ ],
32
+ "train_fve_base": [
33
+ 0.7015960435479525,
34
+ 0.8383776605720765,
35
+ 0.8519851440445276,
36
+ 0.8590077327763346,
37
+ 0.8644971159975638,
38
+ 0.868163820114737,
39
+ 0.871311140074343,
40
+ 0.8732071874855696
41
+ ],
42
+ "train_fve_aligned": [
43
+ 0.7113987897414632,
44
+ 0.8440669860953973,
45
+ 0.8558033980337835,
46
+ 0.8627127026927033,
47
+ 0.8671564106278717,
48
+ 0.8713235474092113,
49
+ 0.8746173165725535,
50
+ 0.8766614520194861
51
+ ],
52
+ "val_fve_base": [
53
+ 0.8261283951280005,
54
+ 0.846365251778308,
55
+ 0.8530328919750234,
56
+ 0.8576946851470708,
57
+ 0.860821262392074,
58
+ 0.8633307043794562,
59
+ 0.864839899914427,
60
+ 0.8652311547888512
61
+ ],
62
+ "val_fve_aligned": [
63
+ 0.8333590829559646,
64
+ 0.8515108162195895,
65
+ 0.8571373723564347,
66
+ 0.8612030126661531,
67
+ 0.86469614162495,
68
+ 0.8671571169224085,
69
+ 0.8690860333867098,
70
+ 0.8695185892869041
71
+ ],
72
+ "val_fve_base_by_layer": [
73
+ [
74
+ 0.8177766338068777,
75
+ 0.8299117709329615,
76
+ 0.8306967141740609
77
+ ],
78
+ [
79
+ 0.8367360998822756,
80
+ 0.8507366916896161,
81
+ 0.8516229010377255
82
+ ],
83
+ [
84
+ 0.8429638262818621,
85
+ 0.8574860080374473,
86
+ 0.8586487813769835
87
+ ],
88
+ [
89
+ 0.8477232908703269,
90
+ 0.8621404776398424,
91
+ 0.8632202363763181
92
+ ],
93
+ [
94
+ 0.8502380248763799,
95
+ 0.8657928237116149,
96
+ 0.8664328808559797
97
+ ],
98
+ [
99
+ 0.8534025624784499,
100
+ 0.8679748658110334,
101
+ 0.8686146196270488
102
+ ],
103
+ [
104
+ 0.8551752067985335,
105
+ 0.8695200428912777,
106
+ 0.8698243863919642
107
+ ],
108
+ [
109
+ 0.855601489855981,
110
+ 0.869883322902999,
111
+ 0.870208601989047
112
+ ]
113
+ ],
114
+ "val_fve_aligned_by_layer": [
115
+ [
116
+ 0.8161060466816288,
117
+ 0.8401628036773642,
118
+ 0.8438083329749981
119
+ ],
120
+ [
121
+ 0.8306049545397933,
122
+ 0.8607466760730245,
123
+ 0.8631807628102327
124
+ ],
125
+ [
126
+ 0.8357983836952928,
127
+ 0.8666428683315897,
128
+ 0.8689708182324913
129
+ ],
130
+ [
131
+ 0.8396026354809706,
132
+ 0.871149707839127,
133
+ 0.8728566503649606
134
+ ],
135
+ [
136
+ 0.8435260463135404,
137
+ 0.8744087434563962,
138
+ 0.8761535686348121
139
+ ],
140
+ [
141
+ 0.8461695953189391,
142
+ 0.876624201292767,
143
+ 0.8786774989198015
144
+ ],
145
+ [
146
+ 0.8490853100546991,
147
+ 0.8781257808520532,
148
+ 0.8800469474642688
149
+ ],
150
+ [
151
+ 0.8496601116594844,
152
+ 0.8785307847392496,
153
+ 0.8803648071763404
154
+ ]
155
+ ],
156
+ "train_fve_base_by_layer": [
157
+ [
158
+ 0.6941370204117169,
159
+ 0.7037833648958334,
160
+ 0.7068676891830743
161
+ ],
162
+ [
163
+ 0.8290317470193674,
164
+ 0.8427446633490359,
165
+ 0.8433565127522501
166
+ ],
167
+ [
168
+ 0.8420405701385627,
169
+ 0.8563868470242061,
170
+ 0.8575279586369436
171
+ ],
172
+ [
173
+ 0.8484418059188723,
174
+ 0.8636138992078528,
175
+ 0.8649674302920638
176
+ ],
177
+ [
178
+ 0.8543001995821551,
179
+ 0.8687895139406385,
180
+ 0.8704015777532774
181
+ ],
182
+ [
183
+ 0.8575139902031915,
184
+ 0.872737635037945,
185
+ 0.874239777133817
186
+ ],
187
+ [
188
+ 0.8611477057417443,
189
+ 0.8756901696628809,
190
+ 0.8770954830912352
191
+ ],
192
+ [
193
+ 0.863233735529359,
194
+ 0.8775679492073594,
195
+ 0.8788198216296884
196
+ ]
197
+ ],
198
+ "train_fve_aligned_by_layer": [
199
+ [
200
+ 0.6944726137341077,
201
+ 0.716125981889826,
202
+ 0.7235977173338699
203
+ ],
204
+ [
205
+ 0.8251827138944181,
206
+ 0.8521462664991113,
207
+ 0.8548719161654939
208
+ ],
209
+ [
210
+ 0.8339531674972418,
211
+ 0.865365701395381,
212
+ 0.8680912674134472
213
+ ],
214
+ [
215
+ 0.8414097531664393,
216
+ 0.8720411967966756,
217
+ 0.8746871037644667
218
+ ],
219
+ [
220
+ 0.8451629372904055,
221
+ 0.8770438990812864,
222
+ 0.8792623344458688
223
+ ],
224
+ [
225
+ 0.8496535475046678,
226
+ 0.8808131022753941,
227
+ 0.8835039282151292
228
+ ],
229
+ [
230
+ 0.8537785815900345,
231
+ 0.8836610175264696,
232
+ 0.8864122903353975
233
+ ],
234
+ [
235
+ 0.8564457243044197,
236
+ 0.8854721518406309,
237
+ 0.8880664166900336
238
+ ]
239
+ ],
240
+ "dead_neurons": [
241
+ 0.9488354915425712,
242
+ 0.9730066949000361,
243
+ 0.9729631123874039,
244
+ 0.9726735350686211,
245
+ 0.9724439327924208,
246
+ 0.9720509123955285,
247
+ 0.9718097363100091,
248
+ 0.9717595683714136
249
+ ],
250
+ "l0_base": [
251
+ 201.66596055796325,
252
+ 185.29069886037777,
253
+ 188.3926337175876,
254
+ 190.54822095346535,
255
+ 192.26211832896075,
256
+ 191.80359647431294,
257
+ 192.55571259132827,
258
+ 192.9452220072749
259
+ ],
260
+ "l0_aligned": [
261
+ 199.70309686076203,
262
+ 184.04912099042136,
263
+ 185.92800052640595,
264
+ 187.69762381015295,
265
+ 189.6078262908098,
266
+ 189.84464915509957,
267
+ 190.03019087257542,
268
+ 190.4826256461959
269
+ ],
270
+ "l0_base_by_layer": [
271
+ [
272
+ 190.144009048453,
273
+ 204.8827167250438,
274
+ 209.97113981319322
275
+ ],
276
+ [
277
+ 171.2249160828955,
278
+ 190.1411084354933,
279
+ 194.5060566258027
280
+ ],
281
+ [
282
+ 175.0184252772913,
283
+ 193.5944067425569,
284
+ 196.56505399883247
285
+ ],
286
+ [
287
+ 176.8047832749562,
288
+ 196.379360040864,
289
+ 198.46050423234092
290
+ ],
291
+ [
292
+ 178.9810274372446,
293
+ 197.9966433158202,
294
+ 199.80866900175133
295
+ ],
296
+ [
297
+ 176.4855151780502,
298
+ 199.25877481027436,
299
+ 199.66648423817864
300
+ ],
301
+ [
302
+ 178.71342308814945,
303
+ 199.06381348511383,
304
+ 199.88988616462348
305
+ ],
306
+ [
307
+ 179.48420169293638,
308
+ 199.32709427904263,
309
+ 200.02435420315237
310
+ ]
311
+ ],
312
+ "l0_aligned_by_layer": [
313
+ [
314
+ 187.3046555750146,
315
+ 204.61622518972564,
316
+ 207.18839389959135
317
+ ],
318
+ [
319
+ 168.132880910683,
320
+ 190.73232267950962,
321
+ 193.28214389959135
322
+ ],
323
+ [
324
+ 169.43620475773497,
325
+ 193.69663966725045,
326
+ 194.6511420023351
327
+ ],
328
+ [
329
+ 169.8374927028605,
330
+ 196.45514083479276,
331
+ 196.8002225627554
332
+ ],
333
+ [
334
+ 172.06178852889667,
335
+ 198.3454830706363,
336
+ 198.4161923525978
337
+ ],
338
+ [
339
+ 170.32167615294804,
340
+ 199.63045461179217,
341
+ 199.58180093403385
342
+ ],
343
+ [
344
+ 170.68091433158202,
345
+ 199.5491644775248,
346
+ 199.8604786923526
347
+ ],
348
+ [
349
+ 171.62883099824867,
350
+ 199.84469862813776,
351
+ 199.9743323117338
352
+ ]
353
+ ],
354
+ "val_l0_base": [
355
+ 184.68014270722554,
356
+ 188.19194078695088,
357
+ 189.71082869125286,
358
+ 191.72099064532375,
359
+ 192.34570016910894,
360
+ 193.01149434194514,
361
+ 193.5691948536179,
362
+ 193.73686162339456
363
+ ],
364
+ "val_l0_aligned": [
365
+ 183.24335100263826,
366
+ 185.18626923086757,
367
+ 187.24862343353752,
368
+ 188.58072043214167,
369
+ 191.41912506263293,
370
+ 190.17398007377903,
371
+ 190.97564481565465,
372
+ 191.17527051995563
373
+ ],
374
+ "val_l0_base_by_layer": [
375
+ [
376
+ 169.34364095158602,
377
+ 189.3860166060363,
378
+ 195.31075482593158
379
+ ],
380
+ [
381
+ 175.52770508771167,
382
+ 192.84505890052355,
383
+ 196.20304319371726
384
+ ],
385
+ [
386
+ 175.49956372645514,
387
+ 195.2835951400677,
388
+ 198.34931282722513
389
+ ],
390
+ [
391
+ 178.7716514227902,
392
+ 197.17173870945476,
393
+ 199.21956806282722
394
+ ],
395
+ [
396
+ 175.93788178928236,
397
+ 200.24351006153367,
398
+ 200.8556937172775
399
+ ],
400
+ [
401
+ 178.811027486911,
402
+ 199.62052797647047,
403
+ 200.6029123036649
404
+ ],
405
+ [
406
+ 180.09162303664922,
407
+ 199.95642457332912,
408
+ 200.6595222513089
409
+ ],
410
+ [
411
+ 180.31806282722513,
412
+ 200.10749345549738,
413
+ 200.78501308900525
414
+ ]
415
+ ],
416
+ "val_l0_aligned_by_layer": [
417
+ [
418
+ 167.0059446165075,
419
+ 189.76603403141362,
420
+ 192.95806069898356
421
+ ],
422
+ [
423
+ 167.5886235262087,
424
+ 193.33158818589456,
425
+ 194.63857984293193
426
+ ],
427
+ [
428
+ 170.5589005235602,
429
+ 195.07733425919298,
430
+ 196.10962041884818
431
+ ],
432
+ [
433
+ 170.40014185081603,
434
+ 197.59445901441325,
435
+ 197.74754581151834
436
+ ],
437
+ [
438
+ 173.3306609947644,
439
+ 200.57531634425618,
440
+ 200.3513853063134
441
+ ],
442
+ [
443
+ 169.85847513089004,
444
+ 200.07242588222962,
445
+ 200.5910231505389
446
+ ],
447
+ [
448
+ 171.91083115183247,
449
+ 200.36578321207256,
450
+ 200.65030546338147
451
+ ],
452
+ [
453
+ 172.2114965628579,
454
+ 200.59653141361255,
455
+ 200.71776832460733
456
+ ]
457
+ ],
458
+ "self_recon": [
459
+ 4.505664574424913,
460
+ 2.4993432393494364,
461
+ 1.928468828408675,
462
+ 1.632774028733538,
463
+ 1.4642720026922589,
464
+ 1.3408555966055469,
465
+ 1.2775818366998828,
466
+ 1.2487620436442364
467
+ ],
468
+ "cross_recon": [
469
+ 4.735656836474074,
470
+ 2.9622688656721765,
471
+ 2.6449227120816463,
472
+ 2.44305269911633,
473
+ 2.2986239649994777,
474
+ 2.2439229215576297,
475
+ 2.1651062731219537,
476
+ 2.136379169325208
477
+ ],
478
+ "sparsity": [
479
+ 0.3603566674655874,
480
+ 0.22036356804702134,
481
+ 0.2416836008977556,
482
+ 0.24973488128018254,
483
+ 0.265650885543904,
484
+ 0.26671464092294445,
485
+ 0.2778665776132354,
486
+ 0.2811292820135474
487
+ ],
488
+ "val_self_recon": [
489
+ 3.3585716854215293,
490
+ 2.313585938583494,
491
+ 1.8139816560046211,
492
+ 1.742430759974175,
493
+ 1.4820889540367725,
494
+ 1.3633831792476914,
495
+ 1.3203094685889039,
496
+ 1.3120334990985731
497
+ ],
498
+ "val_cross_recon": [
499
+ 3.4025513507932894,
500
+ 2.4008493604460313,
501
+ 1.9376109245559932,
502
+ 1.83995559203063,
503
+ 1.5830870133419936,
504
+ 1.4607672432330265,
505
+ 1.4141834709032668,
506
+ 1.4039158390454596
507
+ ],
508
+ "val_sparsity": [
509
+ 0.20864846537874632,
510
+ 0.23324787406085049,
511
+ 0.24639344675690716,
512
+ 0.26286028746847084,
513
+ 0.2627138671762656,
514
+ 0.27520360840552766,
515
+ 0.28094753154909424,
516
+ 0.282456925402137
517
+ ],
518
+ "layers": [
519
+ 23,
520
+ 24,
521
+ 25
522
+ ],
523
+ "topk_mode": "model_balanced_layer_agg"
524
+ }
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/cf_shift_by_layer_pair.png ADDED

Git LFS Details

  • SHA256: bb2bfa5d934900a6e77af3b85168edefb8b018c2eb2f6999d7638d39b5cb5ba4
  • Pointer size: 130 Bytes
  • Size of remote file: 71.4 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/class_distribution_by_layer_pair.png ADDED

Git LFS Details

  • SHA256: e197122eb9219c5157da4716a65f3931295014ebe521ad645770424f015d495b
  • Pointer size: 131 Bytes
  • Size of remote file: 109 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/dead_neurons_by_layer_pair.png ADDED

Git LFS Details

  • SHA256: 1f53d6ea849bc611009ab45720a410e009fdb9bb317efda5238a5332e4332f24
  • Pointer size: 130 Bytes
  • Size of remote file: 67.4 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/fve_by_layer_pair.png ADDED

Git LFS Details

  • SHA256: 816944f2265e1573b7820ab72498f27db46e05aa3ea327c897812afe6b6f731c
  • Pointer size: 130 Bytes
  • Size of remote file: 85 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/plots/separate_collated/loss_by_layer_pair.png ADDED

Git LFS Details

  • SHA256: 8f7510ba9673a5cc7b6d3f5f9dd369c24352942f56f371ed4e89e627e8012095
  • Pointer size: 130 Bytes
  • Size of remote file: 71.1 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/checkpoints/final.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2cfe04e2b330da60ffb178c911ca336567a5d8ca345d83a03fcfa15942d0b307
3
+ size 3624487706
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/cf_distribution_per_class.png ADDED

Git LFS Details

  • SHA256: 883cd269179991397116e386094434e8bdc015e2ab98009d1ca51e166bff52b0
  • Pointer size: 131 Bytes
  • Size of remote file: 159 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/cf_shift_per_class.png ADDED

Git LFS Details

  • SHA256: 65393a6dd39d2226ebd4a8e1f24824df55b1579b5cf688096eb2575d37607883
  • Pointer size: 131 Bytes
  • Size of remote file: 132 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/class_distribution.png ADDED

Git LFS Details

  • SHA256: 5bea7d77e39f23dc481a6391e585c1588e77d84603c5ff60241e8a0c9532acaf
  • Pointer size: 131 Bytes
  • Size of remote file: 154 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/loss_curves.png ADDED

Git LFS Details

  • SHA256: f0522c681212a94feee990c1583d891b5882bd7d5a877bc7b54181e380a0a968
  • Pointer size: 131 Bytes
  • Size of remote file: 341 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/rho_histogram.png ADDED

Git LFS Details

  • SHA256: 218d51b14387995d5d857041de3dd744162b3f8ffc0215615d0f042eb611e376
  • Pointer size: 130 Bytes
  • Size of remote file: 81.4 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/rho_theta_scatter.png ADDED

Git LFS Details

  • SHA256: 77742acd62e68524c803c8150acaa07fe617de1fbf96a63ab5ef5217a84cfeb5
  • Pointer size: 131 Bytes
  • Size of remote file: 318 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/shared_geometry_histograms.png ADDED

Git LFS Details

  • SHA256: e30a3024f8709b9e85aa69dfa4e39f45d7292b7757ae72e110f3006983a2633e
  • Pointer size: 131 Bytes
  • Size of remote file: 140 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/shared_geometry_theta_vs_norm_ratio.png ADDED

Git LFS Details

  • SHA256: eea5dd3f7fc05e952af3fd3cee3c3ad777e47dfbc7c28de5c5cbdc678f674fca
  • Pointer size: 131 Bytes
  • Size of remote file: 303 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_reduce/L12-14/plots/superposition_analysis.png ADDED

Git LFS Details

  • SHA256: aceb57470f15c43ab9cb2294c4baff93faca8fb2517bd70e662374be950a9887
  • Pointer size: 131 Bytes
  • Size of remote file: 389 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/cf_distribution_per_class.png ADDED

Git LFS Details

  • SHA256: 2f14c4d7e4de0252c57dc1cfcfd81cbff77a73129fe75974c7cf33d661861d2c
  • Pointer size: 131 Bytes
  • Size of remote file: 173 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/cf_shift_per_class.png ADDED

Git LFS Details

  • SHA256: 60d71f549fab640736a660c6f945c084d3cdc29011d12f6df4234967354abbbc
  • Pointer size: 131 Bytes
  • Size of remote file: 114 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/class_distribution.png ADDED

Git LFS Details

  • SHA256: d11ed20ffad9e91029469e91f32668502ddefd789eed86b5f826a6e55666dd30
  • Pointer size: 131 Bytes
  • Size of remote file: 159 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/loss_curves.png ADDED

Git LFS Details

  • SHA256: f3fb7857b887ac8ada3b098771eac1013d36e0b7745ebdcab3aea4f21d5678cb
  • Pointer size: 131 Bytes
  • Size of remote file: 329 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/rho_histogram.png ADDED

Git LFS Details

  • SHA256: 06861d43529eac4a81f64ae78ba98a3f2e8200404ada250f7d094961950fc71f
  • Pointer size: 130 Bytes
  • Size of remote file: 82.5 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/rho_theta_scatter.png ADDED

Git LFS Details

  • SHA256: 6bba64c546923b968dc146aa1ddc5d6f9e263b0de7979e01efbc5194c3ed25a0
  • Pointer size: 131 Bytes
  • Size of remote file: 249 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/shared_geometry_histograms.png ADDED

Git LFS Details

  • SHA256: 5e48bfae3a5a17098ecbd4309e19993da0a1edf043af1032881e2da7038aa40d
  • Pointer size: 131 Bytes
  • Size of remote file: 126 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/shared_geometry_theta_vs_norm_ratio.png ADDED

Git LFS Details

  • SHA256: 6e5f29a04fbe964c0c55bcf81e1f5bcef543b4ce15dab748ab8c65aee9e79f88
  • Pointer size: 131 Bytes
  • Size of remote file: 267 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L10__aligned_L12/plots/superposition_analysis.png ADDED

Git LFS Details

  • SHA256: a70f5ef81c54bb4122175c16223a343a7cb5c73884f85ef80707ae6eb0b55174
  • Pointer size: 131 Bytes
  • Size of remote file: 171 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/cf_distribution_per_class.png ADDED

Git LFS Details

  • SHA256: 4349e81df6e722f6103b7e57376d6961a845bf614b4e48e680ec4f49fa0c855d
  • Pointer size: 131 Bytes
  • Size of remote file: 188 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/cf_shift_per_class.png ADDED

Git LFS Details

  • SHA256: fee3f85b45564e51a32b48b8247c0f31d1838da9c1dc32b1ee7dcb648f45a3b9
  • Pointer size: 131 Bytes
  • Size of remote file: 121 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/class_distribution.png ADDED

Git LFS Details

  • SHA256: 0eec47f5b22618e745a214632c1495fe3259fdb1a53deb89859f7c05855d8279
  • Pointer size: 131 Bytes
  • Size of remote file: 154 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/loss_curves.png ADDED

Git LFS Details

  • SHA256: 0f774e97d1c523a73c67c4e699a4812275e66a6a8e4865129f4c5b340d362db6
  • Pointer size: 131 Bytes
  • Size of remote file: 323 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/rho_histogram.png ADDED

Git LFS Details

  • SHA256: 66f23b4b06b93624747f8abea0532ea6b070e122e92a6cccc71b849e41ba51d9
  • Pointer size: 130 Bytes
  • Size of remote file: 84.8 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/rho_theta_scatter.png ADDED

Git LFS Details

  • SHA256: 78d59d13bfb7d8ab5fd79363aca257f893f647fc8b32af6cacb2f07948a17c26
  • Pointer size: 131 Bytes
  • Size of remote file: 252 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/shared_geometry_histograms.png ADDED

Git LFS Details

  • SHA256: 7c1771e9a2eb504491c486ca05d6a6170f16cd2a8bf2fb84101016f866905b53
  • Pointer size: 131 Bytes
  • Size of remote file: 131 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/shared_geometry_theta_vs_norm_ratio.png ADDED

Git LFS Details

  • SHA256: 094514a26e3bf07097f161a08c080dcc84f801f717165f2aa25287f89d60eaed
  • Pointer size: 131 Bytes
  • Size of remote file: 280 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L11__aligned_L13/plots/superposition_analysis.png ADDED

Git LFS Details

  • SHA256: 1204934867975213e2fb6dcd6316211a787313d9f0f54815e4b1895e87a4dc51
  • Pointer size: 131 Bytes
  • Size of remote file: 187 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/checkpoints/final.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4943b851e326e7eb3334712aca9cb920eeeeb2b38e4fab88ffa84940e2a13705
3
+ size 3624487706
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/cf_distribution_per_class.png ADDED

Git LFS Details

  • SHA256: f2d16f9bfc559d75cff30a641e5b3bc3f79dc11659bcf005237de2bc9819cf71
  • Pointer size: 131 Bytes
  • Size of remote file: 167 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/cf_shift_per_class.png ADDED

Git LFS Details

  • SHA256: c502f02f53f169208cd5e8e702b3483d98cbb56523269dd70489efa88288fd01
  • Pointer size: 131 Bytes
  • Size of remote file: 104 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/class_distribution.png ADDED

Git LFS Details

  • SHA256: 62245c88f97ed8c8e982a09bb6469f8e473f7d6574710c01f9fdf5ad39eaa7d7
  • Pointer size: 131 Bytes
  • Size of remote file: 152 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/loss_curves.png ADDED

Git LFS Details

  • SHA256: 428c2fab3d324b1e7580c42a8871027af2caa8759b475c996ff8e4eeb7fc6eea
  • Pointer size: 131 Bytes
  • Size of remote file: 329 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/rho_histogram.png ADDED

Git LFS Details

  • SHA256: eb3735825b6ecc9c792b92d7c8e80a56fe582d7645bc520437af08d5d6441cd1
  • Pointer size: 130 Bytes
  • Size of remote file: 83.3 kB
v2-samelayer/v1/assembled_activations/llama32-3b-dpo/singlelayer_separate/base_L12__aligned_L14/plots/rho_theta_scatter.png ADDED

Git LFS Details

  • SHA256: 719c63d77aa0c08a78c51fd781860a1be190cb3d47c2faf41619571bf96a7bbb
  • Pointer size: 131 Bytes
  • Size of remote file: 269 kB