ishangarg183 commited on
Commit
3052e04
·
verified ·
1 Parent(s): eb7613a

upload assembled smollm3-grpo

Browse files
Files changed (33) hide show
  1. .gitattributes +1 -0
  2. v1/assembled_activations/smollm3-grpo/activations/activations.pt +3 -0
  3. v1/assembled_activations/smollm3-grpo/checkpoints/final.pt +3 -0
  4. v1/assembled_activations/smollm3-grpo/features/counterfactual_scores.csv +0 -0
  5. v1/assembled_activations/smollm3-grpo/features/counterfactual_scores_by_layer.csv +0 -0
  6. v1/assembled_activations/smollm3-grpo/features/cross_layer_cosine_drift.csv +3 -0
  7. v1/assembled_activations/smollm3-grpo/features/decoder_layer_profiles.csv +0 -0
  8. v1/assembled_activations/smollm3-grpo/features/feature_classification.csv +0 -0
  9. v1/assembled_activations/smollm3-grpo/features/merged_classification.csv +0 -0
  10. v1/assembled_activations/smollm3-grpo/features/model_layer_stream_patterns.csv +0 -0
  11. v1/assembled_activations/smollm3-grpo/features/superposition_analysis.json +0 -0
  12. v1/assembled_activations/smollm3-grpo/metrics/aggregate_metrics.json +386 -0
  13. v1/assembled_activations/smollm3-grpo/metrics/training_metrics.json +524 -0
  14. v1/assembled_activations/smollm3-grpo/plots/aligned_decoder_norm_heatmap.png +3 -0
  15. v1/assembled_activations/smollm3-grpo/plots/base_decoder_norm_heatmap.png +3 -0
  16. v1/assembled_activations/smollm3-grpo/plots/cf_shift_by_layer.png +3 -0
  17. v1/assembled_activations/smollm3-grpo/plots/cf_shift_p95_by_layer.png +3 -0
  18. v1/assembled_activations/smollm3-grpo/plots/class_distribution_multilayer.png +3 -0
  19. v1/assembled_activations/smollm3-grpo/plots/class_distribution_primary.png +3 -0
  20. v1/assembled_activations/smollm3-grpo/plots/cross_layer_cosine_drift_by_stream.png +3 -0
  21. v1/assembled_activations/smollm3-grpo/plots/decoder_norm_ratio_by_layer.png +3 -0
  22. v1/assembled_activations/smollm3-grpo/plots/feature_layer_trajectories.png +3 -0
  23. v1/assembled_activations/smollm3-grpo/plots/feature_sharing_ratio_by_layer.png +3 -0
  24. v1/assembled_activations/smollm3-grpo/plots/fve_by_layer.png +3 -0
  25. v1/assembled_activations/smollm3-grpo/plots/l0_by_layer.png +3 -0
  26. v1/assembled_activations/smollm3-grpo/plots/layer_concentration_entropy.png +3 -0
  27. v1/assembled_activations/smollm3-grpo/plots/loss_curves.png +3 -0
  28. v1/assembled_activations/smollm3-grpo/plots/max_norm_layer_migration.png +3 -0
  29. v1/assembled_activations/smollm3-grpo/plots/rho_histogram_by_layer.png +3 -0
  30. v1/assembled_activations/smollm3-grpo/plots/rho_theta_scatter_by_layer.png +3 -0
  31. v1/assembled_activations/smollm3-grpo/plots/superposition_by_layer.png +3 -0
  32. v1/assembled_activations/smollm3-grpo/plots/theta_by_layer.png +3 -0
  33. v1/assembled_activations/smollm3-grpo/run_meta.json +28 -0
.gitattributes CHANGED
@@ -59,3 +59,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
59
  *.mp4 filter=lfs diff=lfs merge=lfs -text
60
  *.webm filter=lfs diff=lfs merge=lfs -text
61
  v1/assembled_activations/smollm3-dpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
 
 
59
  *.mp4 filter=lfs diff=lfs merge=lfs -text
60
  *.webm filter=lfs diff=lfs merge=lfs -text
61
  v1/assembled_activations/smollm3-dpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
62
+ v1/assembled_activations/smollm3-grpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
v1/assembled_activations/smollm3-grpo/activations/activations.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87144d9874354dc395f5528fa8b73a6185a684a8ebe2193338b57c6085d58054
3
+ size 2999037701
v1/assembled_activations/smollm3-grpo/checkpoints/final.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc60afdf20f6a45165aac3e3d8d7b87cb93b67ad0fc1f037e574566c3d9af520
3
+ size 4833046162
v1/assembled_activations/smollm3-grpo/features/counterfactual_scores.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-grpo/features/counterfactual_scores_by_layer.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-grpo/features/cross_layer_cosine_drift.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8769b2992ccdf8a82b6a1f9e48e37e1bb513df6059c919a9a93d150f7a1b0d0a
3
+ size 18164054
v1/assembled_activations/smollm3-grpo/features/decoder_layer_profiles.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-grpo/features/feature_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-grpo/features/merged_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-grpo/features/model_layer_stream_patterns.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-grpo/features/superposition_analysis.json ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-grpo/metrics/aggregate_metrics.json ADDED
@@ -0,0 +1,386 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crosscoder_kind": "multilayer_sparc",
3
+ "layers": [
4
+ 16,
5
+ 17,
6
+ 18
7
+ ],
8
+ "topk_mode": "model_balanced_layer_agg",
9
+ "topk": 400,
10
+ "expansion_factor": 8,
11
+ "dict_size": 16384,
12
+ "forced_shared_fraction": 0.06,
13
+ "class_counts": {
14
+ "aligned_only": 5061,
15
+ "base_only": 4141,
16
+ "shared_intermediate": 3618,
17
+ "shared_aligned": 1475,
18
+ "shared_redirected": 1156,
19
+ "shared_attenuated": 933
20
+ },
21
+ "multilayer_class_counts": {
22
+ "persistent_shared": 4356,
23
+ "localized_aligned_only": 3816,
24
+ "localized_base_only": 3279,
25
+ "drifting_or_rotating": 2580,
26
+ "persistent_aligned_only": 1245,
27
+ "persistent_base_only": 862,
28
+ "mixed_or_ambiguous": 246
29
+ },
30
+ "classification_thresholds": {
31
+ "rho_base_only": 0.4,
32
+ "rho_aligned_only": 0.5725160215525535,
33
+ "rho_shared_low": 0.4308265557491693,
34
+ "rho_shared_high": 0.5725160215525535
35
+ },
36
+ "threshold_sensitivity": {
37
+ "original": {
38
+ "aligned_only": 5061,
39
+ "base_only": 4141,
40
+ "shared_intermediate": 3618,
41
+ "shared_aligned": 1475,
42
+ "shared_redirected": 1156,
43
+ "shared_attenuated": 933
44
+ },
45
+ "perturbed": {
46
+ "delta_-0.05": {
47
+ "base_only": 2058,
48
+ "aligned_only": 3481,
49
+ "shared_aligned": 1720,
50
+ "shared_redirected": 2566,
51
+ "shared_intermediate": 5181,
52
+ "shared_attenuated": 1378,
53
+ "other": 0
54
+ },
55
+ "delta_+0.05": {
56
+ "base_only": 5722,
57
+ "aligned_only": 6821,
58
+ "shared_aligned": 1150,
59
+ "shared_redirected": 367,
60
+ "shared_intermediate": 1197,
61
+ "shared_attenuated": 1127,
62
+ "other": 0
63
+ }
64
+ },
65
+ "perturbation": 0.05
66
+ },
67
+ "class_counts_by_layer": {
68
+ "16": {
69
+ "shared_redirected": 4613,
70
+ "shared_intermediate": 3547,
71
+ "aligned_only": 3373,
72
+ "shared_aligned": 2552,
73
+ "base_only": 2299
74
+ },
75
+ "17": {
76
+ "shared_intermediate": 4640,
77
+ "shared_redirected": 3730,
78
+ "shared_aligned": 3514,
79
+ "base_only": 2793,
80
+ "aligned_only": 1707
81
+ },
82
+ "18": {
83
+ "aligned_only": 6166,
84
+ "shared_aligned": 5264,
85
+ "shared_intermediate": 3950,
86
+ "base_only": 617,
87
+ "shared_redirected": 387
88
+ }
89
+ },
90
+ "feature_sharing_ratio_by_layer": {
91
+ "16": 0.65380859375,
92
+ "17": 0.725341796875,
93
+ "18": 0.58599853515625
94
+ },
95
+ "decoder_amplification_by_layer": {
96
+ "16": {
97
+ "median": 0.9999999859071748,
98
+ "p95": 8.452313943302459
99
+ },
100
+ "17": {
101
+ "median": 0.9999999887943231,
102
+ "p95": 7.0351374179080794
103
+ },
104
+ "18": {
105
+ "median": 0.9999999879983279,
106
+ "p95": 2.552802969659978
107
+ }
108
+ },
109
+ "classification_thresholds_by_layer": {
110
+ "16": {
111
+ "rho_base_only": 0.23073255211735394,
112
+ "rho_aligned_only": 0.6932791133338229,
113
+ "rho_shared_low": 0.23073255211735394,
114
+ "rho_shared_high": 0.6932791133338229
115
+ },
116
+ "17": {
117
+ "rho_base_only": 0.2966126043279549,
118
+ "rho_aligned_only": 0.7745128454830496,
119
+ "rho_shared_low": 0.2966126043279549,
120
+ "rho_shared_high": 0.7745128454830496
121
+ },
122
+ "18": {
123
+ "rho_base_only": 0.23375240394647462,
124
+ "rho_aligned_only": 0.5531885723771574,
125
+ "rho_shared_low": 0.23375240394647462,
126
+ "rho_shared_high": 0.5531885723771574
127
+ }
128
+ },
129
+ "threshold_sensitivity_by_layer": {
130
+ "16": {
131
+ "original": {
132
+ "shared_redirected": 4613,
133
+ "shared_intermediate": 3547,
134
+ "aligned_only": 3373,
135
+ "shared_aligned": 2552,
136
+ "base_only": 2299
137
+ },
138
+ "perturbed": {
139
+ "delta_-0.05": {
140
+ "base_only": 1684,
141
+ "aligned_only": 2449,
142
+ "shared_aligned": 3096,
143
+ "shared_redirected": 5258,
144
+ "shared_intermediate": 3897,
145
+ "shared_attenuated": 0,
146
+ "other": 0
147
+ },
148
+ "delta_+0.05": {
149
+ "base_only": 3076,
150
+ "aligned_only": 4478,
151
+ "shared_aligned": 1865,
152
+ "shared_redirected": 3901,
153
+ "shared_intermediate": 3064,
154
+ "shared_attenuated": 0,
155
+ "other": 0
156
+ }
157
+ },
158
+ "perturbation": 0.05
159
+ },
160
+ "17": {
161
+ "original": {
162
+ "shared_intermediate": 4640,
163
+ "shared_redirected": 3730,
164
+ "shared_aligned": 3514,
165
+ "base_only": 2793,
166
+ "aligned_only": 1707
167
+ },
168
+ "perturbed": {
169
+ "delta_-0.05": {
170
+ "base_only": 1964,
171
+ "aligned_only": 1212,
172
+ "shared_aligned": 3999,
173
+ "shared_redirected": 4271,
174
+ "shared_intermediate": 4938,
175
+ "shared_attenuated": 0,
176
+ "other": 0
177
+ },
178
+ "delta_+0.05": {
179
+ "base_only": 4012,
180
+ "aligned_only": 2394,
181
+ "shared_aligned": 2674,
182
+ "shared_redirected": 3123,
183
+ "shared_intermediate": 4181,
184
+ "shared_attenuated": 0,
185
+ "other": 0
186
+ }
187
+ },
188
+ "perturbation": 0.05
189
+ },
190
+ "18": {
191
+ "original": {
192
+ "aligned_only": 6166,
193
+ "shared_aligned": 5264,
194
+ "shared_intermediate": 3950,
195
+ "base_only": 617,
196
+ "shared_redirected": 387
197
+ },
198
+ "perturbed": {
199
+ "delta_-0.05": {
200
+ "base_only": 406,
201
+ "aligned_only": 4801,
202
+ "shared_aligned": 5838,
203
+ "shared_redirected": 507,
204
+ "shared_intermediate": 4832,
205
+ "shared_attenuated": 0,
206
+ "other": 0
207
+ },
208
+ "delta_+0.05": {
209
+ "base_only": 1047,
210
+ "aligned_only": 7567,
211
+ "shared_aligned": 4729,
212
+ "shared_redirected": 268,
213
+ "shared_intermediate": 2773,
214
+ "shared_attenuated": 0,
215
+ "other": 0
216
+ }
217
+ },
218
+ "perturbation": 0.05
219
+ }
220
+ },
221
+ "counterfactual_shift_by_layer": {
222
+ "16": {
223
+ "aligned_only": {
224
+ "mean_shift": 2.588962289361043e-06,
225
+ "median_shift": 0.0,
226
+ "p95_abs_shift": 0.0,
227
+ "count": 5061
228
+ },
229
+ "base_only": {
230
+ "mean_shift": -2.094216666202371e-06,
231
+ "median_shift": 0.0,
232
+ "p95_abs_shift": 0.0,
233
+ "count": 4141
234
+ },
235
+ "shared_aligned": {
236
+ "mean_shift": -4.0928804196985614e-05,
237
+ "median_shift": 0.0,
238
+ "p95_abs_shift": 0.05558709464967251,
239
+ "count": 1475
240
+ },
241
+ "shared_attenuated": {
242
+ "mean_shift": -7.060741780824413e-07,
243
+ "median_shift": 0.0,
244
+ "p95_abs_shift": 0.0,
245
+ "count": 933
246
+ },
247
+ "shared_intermediate": {
248
+ "mean_shift": 1.334542225040544e-07,
249
+ "median_shift": 0.0,
250
+ "p95_abs_shift": 0.0,
251
+ "count": 3618
252
+ },
253
+ "shared_redirected": {
254
+ "mean_shift": 2.1118243027514393e-07,
255
+ "median_shift": 0.0,
256
+ "p95_abs_shift": 0.0,
257
+ "count": 1156
258
+ }
259
+ },
260
+ "17": {
261
+ "aligned_only": {
262
+ "mean_shift": 7.874286213135585e-06,
263
+ "median_shift": 0.0,
264
+ "p95_abs_shift": 0.0,
265
+ "count": 5061
266
+ },
267
+ "base_only": {
268
+ "mean_shift": -7.231536649971781e-06,
269
+ "median_shift": 0.0,
270
+ "p95_abs_shift": 0.0,
271
+ "count": 4141
272
+ },
273
+ "shared_aligned": {
274
+ "mean_shift": -9.368217193459926e-05,
275
+ "median_shift": 0.0,
276
+ "p95_abs_shift": 0.061881593242287626,
277
+ "count": 1475
278
+ },
279
+ "shared_attenuated": {
280
+ "mean_shift": -2.848925165491711e-06,
281
+ "median_shift": 0.0,
282
+ "p95_abs_shift": 0.0,
283
+ "count": 933
284
+ },
285
+ "shared_intermediate": {
286
+ "mean_shift": 2.1042674749872452e-07,
287
+ "median_shift": 0.0,
288
+ "p95_abs_shift": 0.0,
289
+ "count": 3618
290
+ },
291
+ "shared_redirected": {
292
+ "mean_shift": 7.276601265659258e-07,
293
+ "median_shift": 0.0,
294
+ "p95_abs_shift": 0.0,
295
+ "count": 1156
296
+ }
297
+ },
298
+ "18": {
299
+ "aligned_only": {
300
+ "mean_shift": 3.878634807593331e-05,
301
+ "median_shift": 2.9661814551218413e-05,
302
+ "p95_abs_shift": 0.0,
303
+ "count": 5061
304
+ },
305
+ "base_only": {
306
+ "mean_shift": -4.085496352174323e-05,
307
+ "median_shift": -3.4049116948153824e-05,
308
+ "p95_abs_shift": 0.0,
309
+ "count": 4141
310
+ },
311
+ "shared_aligned": {
312
+ "mean_shift": -0.00010666867287779549,
313
+ "median_shift": 0.0,
314
+ "p95_abs_shift": 0.06505882516503332,
315
+ "count": 1475
316
+ },
317
+ "shared_attenuated": {
318
+ "mean_shift": -1.6696230920795385e-05,
319
+ "median_shift": -3.3784260722313775e-07,
320
+ "p95_abs_shift": 0.0,
321
+ "count": 933
322
+ },
323
+ "shared_intermediate": {
324
+ "mean_shift": -2.763725916871129e-07,
325
+ "median_shift": 0.0,
326
+ "p95_abs_shift": 0.0,
327
+ "count": 3618
328
+ },
329
+ "shared_redirected": {
330
+ "mean_shift": 1.3217451129504965e-06,
331
+ "median_shift": 0.0,
332
+ "p95_abs_shift": 0.0,
333
+ "count": 1156
334
+ }
335
+ }
336
+ },
337
+ "total_features": 16384,
338
+ "fve_base": 0.7372551179681149,
339
+ "fve_aligned": 0.730240145590917,
340
+ "fve_base_by_layer": [
341
+ 0.7124283875470386,
342
+ 0.7455835585818865,
343
+ 0.7537533291347364
344
+ ],
345
+ "fve_aligned_by_layer": [
346
+ 0.705104043346425,
347
+ 0.7387911037624818,
348
+ 0.7468252253782063
349
+ ],
350
+ "val_fve_base_by_layer": [
351
+ 0.7124283875470386,
352
+ 0.7455835585818865,
353
+ 0.7537533291347364
354
+ ],
355
+ "val_fve_aligned_by_layer": [
356
+ 0.705104043346425,
357
+ 0.7387911037624818,
358
+ 0.7468252253782063
359
+ ],
360
+ "dead_neuron_fraction": 0.9487111926148387,
361
+ "l0_sparsity_base": 69.28198217468797,
362
+ "l0_sparsity_aligned": 67.85285550422023,
363
+ "l0_base_by_layer": [
364
+ 56.1244527145359,
365
+ 70.57154845300641,
366
+ 81.14993797431407
367
+ ],
368
+ "l0_aligned_by_layer": [
369
+ 55.129451255107995,
370
+ 69.14165572095739,
371
+ 79.28745256859311
372
+ ],
373
+ "val_l0_base": 70.6938471169996,
374
+ "val_l0_aligned": 69.18884766663557,
375
+ "val_l0_base_by_layer": [
376
+ 57.15265052356021,
377
+ 71.86643762238987,
378
+ 83.06244547579301
379
+ ],
380
+ "val_l0_aligned_by_layer": [
381
+ 56.16126746532181,
382
+ 70.28888526636892,
383
+ 81.11638309818288
384
+ ],
385
+ "superposition_fraction": 0.0
386
+ }
v1/assembled_activations/smollm3-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
+ 0.04643789623030535,
14
+ 0.022745730324935928,
15
+ 0.02152562992276501,
16
+ 0.02093320841625359,
17
+ 0.020528037706145367,
18
+ 0.020203740433319507,
19
+ 0.019967645700853503,
20
+ 0.019835579390074867
21
+ ],
22
+ "val_loss": [
23
+ 0.023690785081442737,
24
+ 0.022017167364271523,
25
+ 0.021394636306463113,
26
+ 0.021059399353662085,
27
+ 0.020853737973807993,
28
+ 0.020742178821438893,
29
+ 0.02069820873731874,
30
+ 0.020691894067948715
31
+ ],
32
+ "train_fve_base": [
33
+ 0.5649460304803848,
34
+ 0.7014540037215278,
35
+ 0.7216422026503942,
36
+ 0.7321647992624014,
37
+ 0.7397208827598292,
38
+ 0.745758191194718,
39
+ 0.7499306282312357,
40
+ 0.752161045312464
41
+ ],
42
+ "train_fve_aligned": [
43
+ 0.5574265366983673,
44
+ 0.6938048588624143,
45
+ 0.7137720224388288,
46
+ 0.7242567334269754,
47
+ 0.7317653374580076,
48
+ 0.7377809323000755,
49
+ 0.7419048928755178,
50
+ 0.7441109255330297
51
+ ],
52
+ "val_fve_base": [
53
+ 0.6864217909842886,
54
+ 0.7131102456472307,
55
+ 0.7233172692553536,
56
+ 0.7294856213150224,
57
+ 0.7338669733851367,
58
+ 0.7358818016751274,
59
+ 0.7369783748506875,
60
+ 0.7372551179681149
61
+ ],
62
+ "val_fve_aligned": [
63
+ 0.6791660286369124,
64
+ 0.7056508488680056,
65
+ 0.7163147988743807,
66
+ 0.7224366746023687,
67
+ 0.7268565659123566,
68
+ 0.7288651385232416,
69
+ 0.7299703974374302,
70
+ 0.730240145590917
71
+ ],
72
+ "val_fve_base_by_layer": [
73
+ [
74
+ 0.663946023474189,
75
+ 0.6950190391840111,
76
+ 0.7003002438245644
77
+ ],
78
+ [
79
+ 0.689720736748261,
80
+ 0.7216282667913986,
81
+ 0.7279816663077988
82
+ ],
83
+ [
84
+ 0.69943784387948,
85
+ 0.7316901964666955,
86
+ 0.7388237065669754
87
+ ],
88
+ [
89
+ 0.7049580812454224,
90
+ 0.7376209488089797,
91
+ 0.7458777646119682
92
+ ],
93
+ [
94
+ 0.7094182122440238,
95
+ 0.7421543095748462,
96
+ 0.750028340916359
97
+ ],
98
+ [
99
+ 0.7110464033031962,
100
+ 0.7442371804676755,
101
+ 0.752361771323918
102
+ ],
103
+ [
104
+ 0.712208789992707,
105
+ 0.7452231346000552,
106
+ 0.7535031515890391
107
+ ],
108
+ [
109
+ 0.7124283875470386,
110
+ 0.7455835585818865,
111
+ 0.7537533291347364
112
+ ]
113
+ ],
114
+ "val_fve_aligned_by_layer": [
115
+ [
116
+ 0.6568606427202675,
117
+ 0.6880221972290758,
118
+ 0.6926151760585645
119
+ ],
120
+ [
121
+ 0.6818820291164658,
122
+ 0.7147237159194747,
123
+ 0.7203467388427695
124
+ ],
125
+ [
126
+ 0.6922820544367685,
127
+ 0.7249889579742991,
128
+ 0.7316733158695761
129
+ ],
130
+ [
131
+ 0.6976571098672157,
132
+ 0.7308935092381782,
133
+ 0.7387593282454925
134
+ ],
135
+ [
136
+ 0.7022398647837614,
137
+ 0.7352491704581295,
138
+ 0.7430806181817778
139
+ ],
140
+ [
141
+ 0.7037534242525151,
142
+ 0.7373661199165265,
143
+ 0.7454758136684357
144
+ ],
145
+ [
146
+ 0.7048604463407506,
147
+ 0.7384736812551608,
148
+ 0.7465770023031385
149
+ ],
150
+ [
151
+ 0.705104043346425,
152
+ 0.7387911037624818,
153
+ 0.7468252253782063
154
+ ]
155
+ ],
156
+ "train_fve_base_by_layer": [
157
+ [
158
+ 0.5455572051537085,
159
+ 0.5723783724919023,
160
+ 0.5769024627360418
161
+ ],
162
+ [
163
+ 0.6783108138857149,
164
+ 0.7097053039651549,
165
+ 0.7163458345789556
166
+ ],
167
+ [
168
+ 0.6975894567219054,
169
+ 0.7299219438435387,
170
+ 0.7374151473287526
171
+ ],
172
+ [
173
+ 0.7073703701219153,
174
+ 0.7403129864281823,
175
+ 0.7488109823283715
176
+ ],
177
+ [
178
+ 0.7138007132894312,
179
+ 0.7474416135976137,
180
+ 0.75792025938691
181
+ ],
182
+ [
183
+ 0.7185447328075357,
184
+ 0.7529498720405676,
185
+ 0.7657799090966104
186
+ ],
187
+ [
188
+ 0.7218611355212022,
189
+ 0.7567692972802309,
190
+ 0.7711613910001965
191
+ ],
192
+ [
193
+ 0.7237302804299425,
194
+ 0.7588730164598597,
195
+ 0.7738797778771485
196
+ ]
197
+ ],
198
+ "train_fve_aligned_by_layer": [
199
+ [
200
+ 0.5387830324014307,
201
+ 0.5647208710128775,
202
+ 0.5687756522037241
203
+ ],
204
+ [
205
+ 0.670718119357388,
206
+ 0.702425988946682,
207
+ 0.7082704077390503
208
+ ],
209
+ [
210
+ 0.6896141614401751,
211
+ 0.7223499242631719,
212
+ 0.7293519175198784
213
+ ],
214
+ [
215
+ 0.6992348317715834,
216
+ 0.7326025638535784,
217
+ 0.7409327451903014
218
+ ],
219
+ [
220
+ 0.7055132938837072,
221
+ 0.739657401064301,
222
+ 0.7501252611617352
223
+ ],
224
+ [
225
+ 0.7101269317035152,
226
+ 0.7451229237076559,
227
+ 0.7580928840765254
228
+ ],
229
+ [
230
+ 0.7133415334766119,
231
+ 0.7489005886040023,
232
+ 0.7634725006296144
233
+ ],
234
+ [
235
+ 0.7151680671187499,
236
+ 0.7509775253603213,
237
+ 0.7661871236106909
238
+ ]
239
+ ],
240
+ "dead_neurons": [
241
+ 0.8169944393516492,
242
+ 0.9168699390346796,
243
+ 0.937241428996552,
244
+ 0.9451960593166229,
245
+ 0.9473812818109676,
246
+ 0.947925645568812,
247
+ 0.9483425231684179,
248
+ 0.9487111926148387
249
+ ],
250
+ "l0_base": [
251
+ 119.31281381173922,
252
+ 67.00058606265236,
253
+ 65.14452187248092,
254
+ 66.18672993666097,
255
+ 67.42044526126325,
256
+ 68.49747274413279,
257
+ 69.1088879123739,
258
+ 69.28198217468797
259
+ ],
260
+ "l0_aligned": [
261
+ 117.51066362433313,
262
+ 65.06512899448909,
263
+ 63.51504610577175,
264
+ 64.7508594648781,
265
+ 66.02577936558855,
266
+ 67.08476465094945,
267
+ 67.67541338446819,
268
+ 67.85285550422023
269
+ ],
270
+ "l0_base_by_layer": [
271
+ [
272
+ 109.05071511967309,
273
+ 119.61575087565674,
274
+ 129.27196438995912
275
+ ],
276
+ [
277
+ 55.883300496205486,
278
+ 67.87003794512552,
279
+ 77.24841287215412
280
+ ],
281
+ [
282
+ 53.679436660828955,
283
+ 66.17615294804436,
284
+ 75.57796993578518
285
+ ],
286
+ [
287
+ 54.146344133099824,
288
+ 67.36560493286632,
289
+ 77.04823409223584
290
+ ],
291
+ [
292
+ 54.839882516053706,
293
+ 68.66451401050789,
294
+ 78.75693228254524
295
+ ],
296
+ [
297
+ 55.53909442498541,
298
+ 69.74525685931116,
299
+ 80.20805969060129
300
+ ],
301
+ [
302
+ 55.97863762405137,
303
+ 70.3633245767659,
304
+ 80.98469424985406
305
+ ],
306
+ [
307
+ 56.1244527145359,
308
+ 70.57154845300641,
309
+ 81.14993797431407
310
+ ]
311
+ ],
312
+ "l0_aligned_by_layer": [
313
+ [
314
+ 107.059161558669,
315
+ 118.0614054290718,
316
+ 127.41141272621132
317
+ ],
318
+ [
319
+ 54.26612667834209,
320
+ 66.1523825160537,
321
+ 74.77687171628722
322
+ ],
323
+ [
324
+ 52.52982705779335,
325
+ 64.63669366608289,
326
+ 73.37861208406305
327
+ ],
328
+ [
329
+ 53.21088733216579,
330
+ 65.93423453006422,
331
+ 75.10745037945125
332
+ ],
333
+ [
334
+ 53.90371424401634,
335
+ 67.26264229422067,
336
+ 76.91097489784005
337
+ ],
338
+ [
339
+ 54.58322387624052,
340
+ 68.31600262697023,
341
+ 78.35506056625803
342
+ ],
343
+ [
344
+ 54.987084063047284,
345
+ 68.9152072387624,
346
+ 79.1239419147694
347
+ ],
348
+ [
349
+ 55.129451255107995,
350
+ 69.14165572095739,
351
+ 79.28745256859311
352
+ ]
353
+ ],
354
+ "val_l0_base": [
355
+ 71.53005270433675,
356
+ 66.66106950050873,
357
+ 66.80232204816728,
358
+ 67.82235550006646,
359
+ 69.61233143032533,
360
+ 69.98951345713351,
361
+ 70.45869933123363,
362
+ 70.6938471169996
363
+ ],
364
+ "val_l0_aligned": [
365
+ 69.54348694966102,
366
+ 64.78659678753758,
367
+ 65.30055835983516,
368
+ 66.25967361290418,
369
+ 68.09806078766029,
370
+ 68.47089751478265,
371
+ 68.95190032239984,
372
+ 69.18884766663557
373
+ ],
374
+ "val_l0_base_by_layer": [
375
+ [
376
+ 60.25485385275636,
377
+ 72.61207460732984,
378
+ 81.72322210341848
379
+ ],
380
+ [
381
+ 55.16154014627347,
382
+ 68.00152707724047,
383
+ 76.82013526636892
384
+ ],
385
+ [
386
+ 55.06517234522635,
387
+ 68.13121727748691,
388
+ 77.21056937172774
389
+ ],
390
+ [
391
+ 54.990619559562646,
392
+ 68.90603186322757,
393
+ 79.57040796729282
394
+ ],
395
+ [
396
+ 56.62101877422233,
397
+ 70.84255018783489,
398
+ 81.37341843849701
399
+ ],
400
+ [
401
+ 56.53070463809667,
402
+ 71.24427356020942,
403
+ 82.19355366492147
404
+ ],
405
+ [
406
+ 57.02416013547887,
407
+ 71.54826570680628,
408
+ 82.80366492146597
409
+ ],
410
+ [
411
+ 57.15265052356021,
412
+ 71.86643762238987,
413
+ 83.06244547579301
414
+ ]
415
+ ],
416
+ "val_l0_aligned_by_layer": [
417
+ [
418
+ 58.274051047120416,
419
+ 70.91170377881114,
420
+ 79.44469895287958
421
+ ],
422
+ [
423
+ 53.64272470124729,
424
+ 66.23816537108097,
425
+ 74.47889397905759
426
+ ],
427
+ [
428
+ 54.12129145517399,
429
+ 66.93411870027712,
430
+ 74.84625875263313
431
+ ],
432
+ [
433
+ 54.01417976898673,
434
+ 67.45157068062828,
435
+ 77.31326353862023
436
+ ],
437
+ [
438
+ 55.84696772710191,
439
+ 69.01619764397905,
440
+ 79.43101006153367
441
+ ],
442
+ [
443
+ 55.56179102553123,
444
+ 69.52072427160452,
445
+ 80.33017015706807
446
+ ],
447
+ [
448
+ 55.99705497382199,
449
+ 70.00359947643979,
450
+ 80.85503926701571
451
+ ],
452
+ [
453
+ 56.16126746532181,
454
+ 70.28888526636892,
455
+ 81.11638309818288
456
+ ]
457
+ ],
458
+ "self_recon": [
459
+ 0.020431408210088306,
460
+ 0.014041720971060613,
461
+ 0.013098242488769642,
462
+ 0.012600112967932531,
463
+ 0.012242872789349914,
464
+ 0.011954027527080979,
465
+ 0.011752598380188252,
466
+ 0.011647366228150786
467
+ ],
468
+ "cross_recon": [
469
+ 0.020483224205803223,
470
+ 0.014057642201225937,
471
+ 0.013112899892997722,
472
+ 0.012623058556444765,
473
+ 0.012288746961718127,
474
+ 0.012025374165636645,
475
+ 0.011838504017025702,
476
+ 0.01173813531846156
477
+ ],
478
+ "sparsity": [
479
+ 0.017813198147173068,
480
+ 0.003080952374054738,
481
+ 0.003182227335521224,
482
+ 0.003283871899935772,
483
+ 0.0033696659967592515,
484
+ 0.0034395631115124612,
485
+ 0.00347964558030016,
486
+ 0.003492958910172828
487
+ ],
488
+ "val_self_recon": [
489
+ 0.014713348601384001,
490
+ 0.013466867150163464,
491
+ 0.01297736955387274,
492
+ 0.012686544332009648,
493
+ 0.012481753460828858,
494
+ 0.012385763032898229,
495
+ 0.01233442644564269,
496
+ 0.012321664288601014
497
+ ],
498
+ "val_cross_recon": [
499
+ 0.014728258251753777,
500
+ 0.013475992536435577,
501
+ 0.012987299495576563,
502
+ 0.012696820379512785,
503
+ 0.012494695655689501,
504
+ 0.01240091832813012,
505
+ 0.01235038522357872,
506
+ 0.012337881437849
507
+ ],
508
+ "val_sparsity": [
509
+ 0.0030861330823241414,
510
+ 0.003159903021558573,
511
+ 0.0032223468726861695,
512
+ 0.003294126759648947,
513
+ 0.0033741061934099304,
514
+ 0.0033960483007679123,
515
+ 0.0034236280815627095,
516
+ 0.0034350770762121958
517
+ ],
518
+ "layers": [
519
+ 16,
520
+ 17,
521
+ 18
522
+ ],
523
+ "topk_mode": "model_balanced_layer_agg"
524
+ }
v1/assembled_activations/smollm3-grpo/plots/aligned_decoder_norm_heatmap.png ADDED

Git LFS Details

  • SHA256: 3c38c53738e8799c2f4ca02d8cd2fbd0aa1b47637c6c841ff5976b43357fc6dc
  • Pointer size: 131 Bytes
  • Size of remote file: 188 kB
v1/assembled_activations/smollm3-grpo/plots/base_decoder_norm_heatmap.png ADDED

Git LFS Details

  • SHA256: 02e2a76e50c99ca67f7ae1404c1abf5e39a3ccf7eb866b796d68ce79c0bd5e1b
  • Pointer size: 131 Bytes
  • Size of remote file: 187 kB
v1/assembled_activations/smollm3-grpo/plots/cf_shift_by_layer.png ADDED

Git LFS Details

  • SHA256: 45a804fe20daee48973c9a7fab04415f86023d95a8a97ac0cd91c66357903713
  • Pointer size: 130 Bytes
  • Size of remote file: 37 kB
v1/assembled_activations/smollm3-grpo/plots/cf_shift_p95_by_layer.png ADDED

Git LFS Details

  • SHA256: 60133db8646864d352a22301c1c35f9b5498762481ed1f5f936b19306c4fee12
  • Pointer size: 131 Bytes
  • Size of remote file: 103 kB
v1/assembled_activations/smollm3-grpo/plots/class_distribution_multilayer.png ADDED

Git LFS Details

  • SHA256: 2c7fca00705080f6ab236ba1db3a8ce5a933ca7891ebaebc59d9a6fbc7a0482a
  • Pointer size: 130 Bytes
  • Size of remote file: 82.2 kB
v1/assembled_activations/smollm3-grpo/plots/class_distribution_primary.png ADDED

Git LFS Details

  • SHA256: 22b02ef56114f8d52cef8ea2cd256383b709736da2be52f371f3225972a0ddeb
  • Pointer size: 131 Bytes
  • Size of remote file: 142 kB
v1/assembled_activations/smollm3-grpo/plots/cross_layer_cosine_drift_by_stream.png ADDED

Git LFS Details

  • SHA256: 87effc79379ffffee3e8174fc9f51c642efe525072ec0ffc3e6b72214990cce5
  • Pointer size: 130 Bytes
  • Size of remote file: 60.8 kB
v1/assembled_activations/smollm3-grpo/plots/decoder_norm_ratio_by_layer.png ADDED

Git LFS Details

  • SHA256: 412d5d7b4af7c4fd55ecef38c1e3ef03f845e2d0ba3079897cd4793f6d906eab
  • Pointer size: 130 Bytes
  • Size of remote file: 40.9 kB
v1/assembled_activations/smollm3-grpo/plots/feature_layer_trajectories.png ADDED

Git LFS Details

  • SHA256: 8257ccb2f4e6ffee407016aa3f242043861652244870e9123f2217753ef89aad
  • Pointer size: 131 Bytes
  • Size of remote file: 505 kB
v1/assembled_activations/smollm3-grpo/plots/feature_sharing_ratio_by_layer.png ADDED

Git LFS Details

  • SHA256: 986ee83557bca294e21738151c56c65394ff7bccbf05480a48bcdb55e0df5aea
  • Pointer size: 130 Bytes
  • Size of remote file: 62.5 kB
v1/assembled_activations/smollm3-grpo/plots/fve_by_layer.png ADDED

Git LFS Details

  • SHA256: f575e370cf46eef9b0598e99edd71037aba888906733027a6af1a5cefa4dbd38
  • Pointer size: 130 Bytes
  • Size of remote file: 98.6 kB
v1/assembled_activations/smollm3-grpo/plots/l0_by_layer.png ADDED

Git LFS Details

  • SHA256: 8059a66d2afa47ed31db3557de95e0e3bad008975e14e28c7bbf26a711baa19f
  • Pointer size: 130 Bytes
  • Size of remote file: 97.3 kB
v1/assembled_activations/smollm3-grpo/plots/layer_concentration_entropy.png ADDED

Git LFS Details

  • SHA256: 82b213043cd0ca4dafcfb7603642deac4ae03b5e7dbe3b5dc400b0fbc44b3a59
  • Pointer size: 131 Bytes
  • Size of remote file: 118 kB
v1/assembled_activations/smollm3-grpo/plots/loss_curves.png ADDED

Git LFS Details

  • SHA256: 65a80b6e98edbef744046cd3404df817eca48f256ef164a1b8a806c85aa236d1
  • Pointer size: 131 Bytes
  • Size of remote file: 322 kB
v1/assembled_activations/smollm3-grpo/plots/max_norm_layer_migration.png ADDED

Git LFS Details

  • SHA256: baf58c2e93ea6aa85d70cae1f9197458eaa7a38da780d45a8b9317b6f3f3dd7a
  • Pointer size: 130 Bytes
  • Size of remote file: 77.1 kB
v1/assembled_activations/smollm3-grpo/plots/rho_histogram_by_layer.png ADDED

Git LFS Details

  • SHA256: 422035cff57ccd64118aeec54441b61e3cd3514090ffb193b45749ec7841548e
  • Pointer size: 130 Bytes
  • Size of remote file: 55 kB
v1/assembled_activations/smollm3-grpo/plots/rho_theta_scatter_by_layer.png ADDED

Git LFS Details

  • SHA256: 9ea6d2ded08ad6edb9e52b1b85a6781b2e575ffedb3a5a8e71c4efcc4784abdd
  • Pointer size: 132 Bytes
  • Size of remote file: 1.66 MB
v1/assembled_activations/smollm3-grpo/plots/superposition_by_layer.png ADDED

Git LFS Details

  • SHA256: 325e654e08f843d39889dfc73ee4e7cb011777514c7429a85551926833a1f05e
  • Pointer size: 131 Bytes
  • Size of remote file: 117 kB
v1/assembled_activations/smollm3-grpo/plots/theta_by_layer.png ADDED

Git LFS Details

  • SHA256: 6c298a41ffe98e60b5cb804ddb9dfe87c5026f1d0148034325514fa589c5cb8a
  • Pointer size: 130 Bytes
  • Size of remote file: 61.7 kB
v1/assembled_activations/smollm3-grpo/run_meta.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crosscoder_kind": "multilayer_sparc",
3
+ "extract_side": "assembled",
4
+ "base_model": "HuggingFaceTB/SmolLM3-3B",
5
+ "aligned_model": "MInAlA/SmolLM3-3B-GRPO-merged",
6
+ "aligned_run_id": "smollm3-grpo",
7
+ "layers": [
8
+ 16,
9
+ 17,
10
+ 18
11
+ ],
12
+ "base_source_layers": [
13
+ 16,
14
+ 17,
15
+ 18,
16
+ 19,
17
+ 20
18
+ ],
19
+ "layer_policy": "base_union_sliced_to_aligned_layers",
20
+ "position": "last_prompt",
21
+ "dataset_name": "argilla/ultrafeedback-binarized-preferences-cleaned",
22
+ "max_prompt_tokens": 512,
23
+ "peft": false,
24
+ "topk_mode": "model_balanced_layer_agg",
25
+ "base_activations_path": "interp_utils/crosscoder/results-multi-v1/base_activations/smollm3-union/activations/base_activations.pt",
26
+ "aligned_activations_path": "interp_utils/crosscoder/results-multi-v1/aligned_activations/smollm3-grpo/activations/aligned_activations.pt",
27
+ "activation_artifact": "interp_utils/crosscoder/results-multi-v1/assembled_activations/smollm3-grpo/activations/activations.pt"
28
+ }