ishangarg183 commited on
Commit
944a3ab
·
verified ·
1 Parent(s): 4b0913d

upload assembled smollm3-simpo

Browse files
Files changed (33) hide show
  1. .gitattributes +1 -0
  2. v1/assembled_activations/smollm3-simpo/activations/activations.pt +3 -0
  3. v1/assembled_activations/smollm3-simpo/checkpoints/final.pt +3 -0
  4. v1/assembled_activations/smollm3-simpo/features/counterfactual_scores.csv +0 -0
  5. v1/assembled_activations/smollm3-simpo/features/counterfactual_scores_by_layer.csv +0 -0
  6. v1/assembled_activations/smollm3-simpo/features/cross_layer_cosine_drift.csv +3 -0
  7. v1/assembled_activations/smollm3-simpo/features/decoder_layer_profiles.csv +0 -0
  8. v1/assembled_activations/smollm3-simpo/features/feature_classification.csv +0 -0
  9. v1/assembled_activations/smollm3-simpo/features/merged_classification.csv +0 -0
  10. v1/assembled_activations/smollm3-simpo/features/model_layer_stream_patterns.csv +0 -0
  11. v1/assembled_activations/smollm3-simpo/features/superposition_analysis.json +0 -0
  12. v1/assembled_activations/smollm3-simpo/metrics/aggregate_metrics.json +386 -0
  13. v1/assembled_activations/smollm3-simpo/metrics/training_metrics.json +524 -0
  14. v1/assembled_activations/smollm3-simpo/plots/aligned_decoder_norm_heatmap.png +3 -0
  15. v1/assembled_activations/smollm3-simpo/plots/base_decoder_norm_heatmap.png +3 -0
  16. v1/assembled_activations/smollm3-simpo/plots/cf_shift_by_layer.png +3 -0
  17. v1/assembled_activations/smollm3-simpo/plots/cf_shift_p95_by_layer.png +3 -0
  18. v1/assembled_activations/smollm3-simpo/plots/class_distribution_multilayer.png +3 -0
  19. v1/assembled_activations/smollm3-simpo/plots/class_distribution_primary.png +3 -0
  20. v1/assembled_activations/smollm3-simpo/plots/cross_layer_cosine_drift_by_stream.png +3 -0
  21. v1/assembled_activations/smollm3-simpo/plots/decoder_norm_ratio_by_layer.png +3 -0
  22. v1/assembled_activations/smollm3-simpo/plots/feature_layer_trajectories.png +3 -0
  23. v1/assembled_activations/smollm3-simpo/plots/feature_sharing_ratio_by_layer.png +3 -0
  24. v1/assembled_activations/smollm3-simpo/plots/fve_by_layer.png +3 -0
  25. v1/assembled_activations/smollm3-simpo/plots/l0_by_layer.png +3 -0
  26. v1/assembled_activations/smollm3-simpo/plots/layer_concentration_entropy.png +3 -0
  27. v1/assembled_activations/smollm3-simpo/plots/loss_curves.png +3 -0
  28. v1/assembled_activations/smollm3-simpo/plots/max_norm_layer_migration.png +3 -0
  29. v1/assembled_activations/smollm3-simpo/plots/rho_histogram_by_layer.png +3 -0
  30. v1/assembled_activations/smollm3-simpo/plots/rho_theta_scatter_by_layer.png +3 -0
  31. v1/assembled_activations/smollm3-simpo/plots/superposition_by_layer.png +3 -0
  32. v1/assembled_activations/smollm3-simpo/plots/theta_by_layer.png +3 -0
  33. v1/assembled_activations/smollm3-simpo/run_meta.json +28 -0
.gitattributes CHANGED
@@ -63,3 +63,4 @@ v1/assembled_activations/smollm3-grpo/features/cross_layer_cosine_drift.csv filt
63
  v1/assembled_activations/smollm3-kto/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
64
  v1/assembled_activations/smollm3-orpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
65
  v1/assembled_activations/smollm3-ppo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
 
 
63
  v1/assembled_activations/smollm3-kto/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
64
  v1/assembled_activations/smollm3-orpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
65
  v1/assembled_activations/smollm3-ppo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
66
+ v1/assembled_activations/smollm3-simpo/features/cross_layer_cosine_drift.csv filter=lfs diff=lfs merge=lfs -text
v1/assembled_activations/smollm3-simpo/activations/activations.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d59aa1db0f3de1b8e071c6d09cdc7312bdbb4fdc4bc1ba90da5f553aaaedba87
3
+ size 2999037701
v1/assembled_activations/smollm3-simpo/checkpoints/final.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ad28341ebbc86290428c6f1457969f060becc9f6e533b0568d07b6c1e403ba0
3
+ size 4833046162
v1/assembled_activations/smollm3-simpo/features/counterfactual_scores.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-simpo/features/counterfactual_scores_by_layer.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-simpo/features/cross_layer_cosine_drift.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc50211c790a5bef2c09ce91c5bd1a2ab716c337bf10b016fbbaf9a411d1b1e2
3
+ size 18138398
v1/assembled_activations/smollm3-simpo/features/decoder_layer_profiles.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-simpo/features/feature_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-simpo/features/merged_classification.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-simpo/features/model_layer_stream_patterns.csv ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-simpo/features/superposition_analysis.json ADDED
The diff for this file is too large to render. See raw diff
 
v1/assembled_activations/smollm3-simpo/metrics/aggregate_metrics.json ADDED
@@ -0,0 +1,386 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crosscoder_kind": "multilayer_sparc",
3
+ "layers": [
4
+ 17,
5
+ 18,
6
+ 19
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": 5066,
15
+ "shared_intermediate": 4444,
16
+ "base_only": 3783,
17
+ "shared_aligned": 1521,
18
+ "shared_attenuated": 810,
19
+ "shared_redirected": 760
20
+ },
21
+ "multilayer_class_counts": {
22
+ "persistent_shared": 5168,
23
+ "localized_aligned_only": 3350,
24
+ "localized_base_only": 2745,
25
+ "drifting_or_rotating": 2171,
26
+ "persistent_aligned_only": 1716,
27
+ "persistent_base_only": 1038,
28
+ "mixed_or_ambiguous": 196
29
+ },
30
+ "classification_thresholds": {
31
+ "rho_base_only": 0.4,
32
+ "rho_aligned_only": 0.5683313420796194,
33
+ "rho_shared_low": 0.42732599314238084,
34
+ "rho_shared_high": 0.5683313420796194
35
+ },
36
+ "threshold_sensitivity": {
37
+ "original": {
38
+ "aligned_only": 5066,
39
+ "shared_intermediate": 4444,
40
+ "base_only": 3783,
41
+ "shared_aligned": 1521,
42
+ "shared_attenuated": 810,
43
+ "shared_redirected": 760
44
+ },
45
+ "perturbed": {
46
+ "delta_-0.05": {
47
+ "base_only": 1817,
48
+ "aligned_only": 3438,
49
+ "shared_aligned": 1775,
50
+ "shared_redirected": 1790,
51
+ "shared_intermediate": 6375,
52
+ "shared_attenuated": 1189,
53
+ "other": 0
54
+ },
55
+ "delta_+0.05": {
56
+ "base_only": 5403,
57
+ "aligned_only": 6984,
58
+ "shared_aligned": 1147,
59
+ "shared_redirected": 198,
60
+ "shared_intermediate": 1495,
61
+ "shared_attenuated": 1157,
62
+ "other": 0
63
+ }
64
+ },
65
+ "perturbation": 0.05
66
+ },
67
+ "class_counts_by_layer": {
68
+ "17": {
69
+ "shared_intermediate": 4669,
70
+ "shared_redirected": 3512,
71
+ "base_only": 3270,
72
+ "shared_aligned": 3192,
73
+ "aligned_only": 1741
74
+ },
75
+ "18": {
76
+ "shared_intermediate": 5781,
77
+ "shared_aligned": 5423,
78
+ "base_only": 3363,
79
+ "shared_redirected": 1043,
80
+ "aligned_only": 774
81
+ },
82
+ "19": {
83
+ "shared_intermediate": 5314,
84
+ "shared_aligned": 4899,
85
+ "shared_redirected": 2884,
86
+ "aligned_only": 1821,
87
+ "base_only": 1466
88
+ }
89
+ },
90
+ "feature_sharing_ratio_by_layer": {
91
+ "17": 0.69415283203125,
92
+ "18": 0.74749755859375,
93
+ "19": 0.79937744140625
94
+ },
95
+ "decoder_amplification_by_layer": {
96
+ "17": {
97
+ "median": 0.9999999863091942,
98
+ "p95": 6.75206105643969
99
+ },
100
+ "18": {
101
+ "median": 0.999999988382649,
102
+ "p95": 3.216131616720221
103
+ },
104
+ "19": {
105
+ "median": 0.9999999864781326,
106
+ "p95": 5.381612937483585
107
+ }
108
+ },
109
+ "classification_thresholds_by_layer": {
110
+ "17": {
111
+ "rho_base_only": 0.3091548583383076,
112
+ "rho_aligned_only": 0.7716552676223911,
113
+ "rho_shared_low": 0.3091548583383076,
114
+ "rho_shared_high": 0.7716552676223911
115
+ },
116
+ "18": {
117
+ "rho_base_only": 0.35418799943316326,
118
+ "rho_aligned_only": 0.7682187848191824,
119
+ "rho_shared_low": 0.35418799943316326,
120
+ "rho_shared_high": 0.7682187848191824
121
+ },
122
+ "19": {
123
+ "rho_base_only": 0.223210158096383,
124
+ "rho_aligned_only": 0.7306026528620642,
125
+ "rho_shared_low": 0.223210158096383,
126
+ "rho_shared_high": 0.7306026528620642
127
+ }
128
+ },
129
+ "threshold_sensitivity_by_layer": {
130
+ "17": {
131
+ "original": {
132
+ "shared_intermediate": 4669,
133
+ "shared_redirected": 3512,
134
+ "base_only": 3270,
135
+ "shared_aligned": 3192,
136
+ "aligned_only": 1741
137
+ },
138
+ "perturbed": {
139
+ "delta_-0.05": {
140
+ "base_only": 2354,
141
+ "aligned_only": 1233,
142
+ "shared_aligned": 3743,
143
+ "shared_redirected": 4020,
144
+ "shared_intermediate": 5034,
145
+ "shared_attenuated": 0,
146
+ "other": 0
147
+ },
148
+ "delta_+0.05": {
149
+ "base_only": 4446,
150
+ "aligned_only": 2446,
151
+ "shared_aligned": 2385,
152
+ "shared_redirected": 2953,
153
+ "shared_intermediate": 4154,
154
+ "shared_attenuated": 0,
155
+ "other": 0
156
+ }
157
+ },
158
+ "perturbation": 0.05
159
+ },
160
+ "18": {
161
+ "original": {
162
+ "shared_intermediate": 5781,
163
+ "shared_aligned": 5423,
164
+ "base_only": 3363,
165
+ "shared_redirected": 1043,
166
+ "aligned_only": 774
167
+ },
168
+ "perturbed": {
169
+ "delta_-0.05": {
170
+ "base_only": 1761,
171
+ "aligned_only": 511,
172
+ "shared_aligned": 6721,
173
+ "shared_redirected": 1247,
174
+ "shared_intermediate": 6144,
175
+ "shared_attenuated": 0,
176
+ "other": 0
177
+ },
178
+ "delta_+0.05": {
179
+ "base_only": 5041,
180
+ "aligned_only": 1222,
181
+ "shared_aligned": 4232,
182
+ "shared_redirected": 840,
183
+ "shared_intermediate": 5049,
184
+ "shared_attenuated": 0,
185
+ "other": 0
186
+ }
187
+ },
188
+ "perturbation": 0.05
189
+ },
190
+ "19": {
191
+ "original": {
192
+ "shared_intermediate": 5314,
193
+ "shared_aligned": 4899,
194
+ "shared_redirected": 2884,
195
+ "aligned_only": 1821,
196
+ "base_only": 1466
197
+ },
198
+ "perturbed": {
199
+ "delta_-0.05": {
200
+ "base_only": 1034,
201
+ "aligned_only": 1267,
202
+ "shared_aligned": 5242,
203
+ "shared_redirected": 3246,
204
+ "shared_intermediate": 5595,
205
+ "shared_attenuated": 0,
206
+ "other": 0
207
+ },
208
+ "delta_+0.05": {
209
+ "base_only": 2106,
210
+ "aligned_only": 2733,
211
+ "shared_aligned": 4165,
212
+ "shared_redirected": 2468,
213
+ "shared_intermediate": 4912,
214
+ "shared_attenuated": 0,
215
+ "other": 0
216
+ }
217
+ },
218
+ "perturbation": 0.05
219
+ }
220
+ },
221
+ "counterfactual_shift_by_layer": {
222
+ "17": {
223
+ "aligned_only": {
224
+ "mean_shift": 5.414866713483192e-06,
225
+ "median_shift": 0.0,
226
+ "p95_abs_shift": 0.0,
227
+ "count": 5066
228
+ },
229
+ "base_only": {
230
+ "mean_shift": -5.031725571709032e-06,
231
+ "median_shift": 0.0,
232
+ "p95_abs_shift": 0.0,
233
+ "count": 3783
234
+ },
235
+ "shared_aligned": {
236
+ "mean_shift": -4.342349163701073e-05,
237
+ "median_shift": 0.0,
238
+ "p95_abs_shift": 0.05942939966917038,
239
+ "count": 1521
240
+ },
241
+ "shared_attenuated": {
242
+ "mean_shift": -1.4833750046640127e-06,
243
+ "median_shift": 0.0,
244
+ "p95_abs_shift": 0.0,
245
+ "count": 810
246
+ },
247
+ "shared_intermediate": {
248
+ "mean_shift": 3.9242106891248466e-08,
249
+ "median_shift": 0.0,
250
+ "p95_abs_shift": 0.0,
251
+ "count": 4444
252
+ },
253
+ "shared_redirected": {
254
+ "mean_shift": -9.107109880878677e-07,
255
+ "median_shift": 0.0,
256
+ "p95_abs_shift": 0.0,
257
+ "count": 760
258
+ }
259
+ },
260
+ "18": {
261
+ "aligned_only": {
262
+ "mean_shift": 2.630254469717663e-05,
263
+ "median_shift": 3.0754537192478892e-06,
264
+ "p95_abs_shift": 0.0,
265
+ "count": 5066
266
+ },
267
+ "base_only": {
268
+ "mean_shift": -2.6901354758659967e-05,
269
+ "median_shift": -5.866863375558751e-06,
270
+ "p95_abs_shift": 0.0,
271
+ "count": 3783
272
+ },
273
+ "shared_aligned": {
274
+ "mean_shift": -4.556367625593136e-05,
275
+ "median_shift": 0.0,
276
+ "p95_abs_shift": 0.06408882886171341,
277
+ "count": 1521
278
+ },
279
+ "shared_attenuated": {
280
+ "mean_shift": -9.514760716250665e-06,
281
+ "median_shift": 0.0,
282
+ "p95_abs_shift": 0.0,
283
+ "count": 810
284
+ },
285
+ "shared_intermediate": {
286
+ "mean_shift": 1.4881752902345822e-07,
287
+ "median_shift": 0.0,
288
+ "p95_abs_shift": 0.0,
289
+ "count": 4444
290
+ },
291
+ "shared_redirected": {
292
+ "mean_shift": -3.3864467684929204e-06,
293
+ "median_shift": 0.0,
294
+ "p95_abs_shift": 0.0,
295
+ "count": 760
296
+ }
297
+ },
298
+ "19": {
299
+ "aligned_only": {
300
+ "mean_shift": 1.4746117478964456e-05,
301
+ "median_shift": 0.0,
302
+ "p95_abs_shift": 0.0,
303
+ "count": 5066
304
+ },
305
+ "base_only": {
306
+ "mean_shift": -1.6542921626862228e-05,
307
+ "median_shift": 0.0,
308
+ "p95_abs_shift": 0.0,
309
+ "count": 3783
310
+ },
311
+ "shared_aligned": {
312
+ "mean_shift": -5.307251026391069e-05,
313
+ "median_shift": 0.0,
314
+ "p95_abs_shift": 0.0641685351729393,
315
+ "count": 1521
316
+ },
317
+ "shared_attenuated": {
318
+ "mean_shift": -4.79513770012575e-06,
319
+ "median_shift": 0.0,
320
+ "p95_abs_shift": 0.0,
321
+ "count": 810
322
+ },
323
+ "shared_intermediate": {
324
+ "mean_shift": -1.863175362877722e-08,
325
+ "median_shift": 0.0,
326
+ "p95_abs_shift": 0.0,
327
+ "count": 4444
328
+ },
329
+ "shared_redirected": {
330
+ "mean_shift": -1.003560071906913e-06,
331
+ "median_shift": 0.0,
332
+ "p95_abs_shift": 0.0,
333
+ "count": 760
334
+ }
335
+ }
336
+ },
337
+ "total_features": 16384,
338
+ "fve_base": 0.7466139275366099,
339
+ "fve_aligned": 0.742443877989085,
340
+ "fve_base_by_layer": [
341
+ 0.743053713082019,
342
+ 0.7529810420505664,
343
+ 0.7438069566382164
344
+ ],
345
+ "fve_aligned_by_layer": [
346
+ 0.7392795026614404,
347
+ 0.7496026223866727,
348
+ 0.7384494461938349
349
+ ],
350
+ "val_fve_base_by_layer": [
351
+ 0.743053713082019,
352
+ 0.7529810420505664,
353
+ 0.7438069566382164
354
+ ],
355
+ "val_fve_aligned_by_layer": [
356
+ 0.7392795026614404,
357
+ 0.7496026223866727,
358
+ 0.7384494461938349
359
+ ],
360
+ "dead_neuron_fraction": 0.9483923346969863,
361
+ "l0_sparsity_base": 72.56579238437313,
362
+ "l0_sparsity_aligned": 71.49325877299312,
363
+ "l0_base_by_layer": [
364
+ 65.87950598365441,
365
+ 77.39068884997081,
366
+ 74.42717454757735
367
+ ],
368
+ "l0_aligned_by_layer": [
369
+ 65.02563120256859,
370
+ 76.39641710449504,
371
+ 73.05772037361355
372
+ ],
373
+ "val_l0_base": 73.926813095652,
374
+ "val_l0_aligned": 72.80583123012363,
375
+ "val_l0_base_by_layer": [
376
+ 66.95953317212809,
377
+ 79.07449828142894,
378
+ 75.74640052356021
379
+ ],
380
+ "val_l0_aligned_by_layer": [
381
+ 66.10427576833995,
382
+ 77.96798650132423,
383
+ 74.345222513089
384
+ ],
385
+ "superposition_fraction": 0.0
386
+ }
v1/assembled_activations/smollm3-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
+ 0.04931788916889333,
14
+ 0.02425748108947618,
15
+ 0.022946875006878194,
16
+ 0.022287646819599802,
17
+ 0.02184200178944901,
18
+ 0.021483994035242735,
19
+ 0.02122080226043338,
20
+ 0.021073199455206044
21
+ ],
22
+ "val_loss": [
23
+ 0.02531250687169779,
24
+ 0.02350017370860926,
25
+ 0.022792349291565532,
26
+ 0.022415929888399484,
27
+ 0.02219137031565474,
28
+ 0.02205395471324159,
29
+ 0.02199968004218883,
30
+ 0.021991470965181347
31
+ ],
32
+ "train_fve_base": [
33
+ 0.5726899824412586,
34
+ 0.7105189628999135,
35
+ 0.7304347111548308,
36
+ 0.7411242154558987,
37
+ 0.7486704081314318,
38
+ 0.7547223210265187,
39
+ 0.7589936112007479,
40
+ 0.7612921559386133
41
+ ],
42
+ "train_fve_aligned": [
43
+ 0.5675145004998983,
44
+ 0.7058234262800467,
45
+ 0.7255636215975462,
46
+ 0.7361319006985555,
47
+ 0.7437354377049559,
48
+ 0.7498772986716021,
49
+ 0.7541778878169108,
50
+ 0.7564631754796685
51
+ ],
52
+ "val_fve_base": [
53
+ 0.6952097462734003,
54
+ 0.7215252787030805,
55
+ 0.7323912148076203,
56
+ 0.7384072198917728,
57
+ 0.7424994710228205,
58
+ 0.7450667067348021,
59
+ 0.7463423057376403,
60
+ 0.7466139275366099
61
+ ],
62
+ "val_fve_aligned": [
63
+ 0.6905971880982683,
64
+ 0.716994818904637,
65
+ 0.7279337875506017,
66
+ 0.7341618141578754,
67
+ 0.738306850038898,
68
+ 0.7408905531723462,
69
+ 0.7421561576309005,
70
+ 0.742443877989085
71
+ ],
72
+ "val_fve_base_by_layer": [
73
+ [
74
+ 0.69399158523969,
75
+ 0.702322862535247,
76
+ 0.6893147208303682
77
+ ],
78
+ [
79
+ 0.719310370103227,
80
+ 0.7283778334163247,
81
+ 0.7168875789143028
82
+ ],
83
+ [
84
+ 0.7296535734730866,
85
+ 0.7389491178602449,
86
+ 0.7285708959814141
87
+ ],
88
+ [
89
+ 0.73541947185057,
90
+ 0.744531240138708,
91
+ 0.7352708780952774
92
+ ],
93
+ [
94
+ 0.7391466410996402,
95
+ 0.748778737340298,
96
+ 0.7395729712790844
97
+ ],
98
+ [
99
+ 0.7415184540898389,
100
+ 0.7516678219066241,
101
+ 0.7420137799223055
102
+ ],
103
+ [
104
+ 0.742730420297353,
105
+ 0.7527939599221913,
106
+ 0.7435024817576583
107
+ ],
108
+ [
109
+ 0.743053713082019,
110
+ 0.7529810420505664,
111
+ 0.7438069566382164
112
+ ]
113
+ ],
114
+ "val_fve_aligned_by_layer": [
115
+ [
116
+ 0.6899223165362293,
117
+ 0.6977091731201291,
118
+ 0.6841600225233907
119
+ ],
120
+ [
121
+ 0.7154063638592265,
122
+ 0.7242588881422712,
123
+ 0.7113191382423121
124
+ ],
125
+ [
126
+ 0.7257216850500456,
127
+ 0.7348750383441985,
128
+ 0.7232045893269684
129
+ ],
130
+ [
131
+ 0.7315016604218808,
132
+ 0.7408887356987799,
133
+ 0.7300949867483209
134
+ ],
135
+ [
136
+ 0.7353326734447978,
137
+ 0.7453521686698754,
138
+ 0.7342356493335744
139
+ ],
140
+ [
141
+ 0.737679411291452,
142
+ 0.7482718026450791,
143
+ 0.7367203934654516
144
+ ],
145
+ [
146
+ 0.738955980196049,
147
+ 0.7494129082919415,
148
+ 0.7380995260483307
149
+ ],
150
+ [
151
+ 0.7392795026614404,
152
+ 0.7496026223866727,
153
+ 0.7384494461938349
154
+ ]
155
+ ],
156
+ "train_fve_base_by_layer": [
157
+ [
158
+ 0.5722325120971555,
159
+ 0.5792685693561579,
160
+ 0.5665688138570413
161
+ ],
162
+ [
163
+ 0.708307844153358,
164
+ 0.7177176027359213,
165
+ 0.7055313846414992
166
+ ],
167
+ [
168
+ 0.7276435353501248,
169
+ 0.7371267861465369,
170
+ 0.7265337506930033
171
+ ],
172
+ [
173
+ 0.737938611220701,
174
+ 0.7475623305402022,
175
+ 0.7378716469854899
176
+ ],
177
+ [
178
+ 0.7446373211175326,
179
+ 0.7555642960646385,
180
+ 0.7458095509826407
181
+ ],
182
+ [
183
+ 0.7497421349966936,
184
+ 0.7622863646494459,
185
+ 0.7521384061948639
186
+ ],
187
+ [
188
+ 0.7533068117243604,
189
+ 0.7670356916601868,
190
+ 0.7566382704738699
191
+ ],
192
+ [
193
+ 0.7553047533628193,
194
+ 0.7695418394453959,
195
+ 0.7590298141851386
196
+ ]
197
+ ],
198
+ "train_fve_aligned_by_layer": [
199
+ [
200
+ 0.5675211150397074,
201
+ 0.5736085929441925,
202
+ 0.5614137378827355
203
+ ],
204
+ [
205
+ 0.7042191058519077,
206
+ 0.713262828900949,
207
+ 0.6999882856308892
208
+ ],
209
+ [
210
+ 0.7231219264059406,
211
+ 0.7329141770408506,
212
+ 0.7206547033069987
213
+ ],
214
+ [
215
+ 0.7332017992368165,
216
+ 0.7434727048150156,
217
+ 0.7317211371169616
218
+ ],
219
+ [
220
+ 0.7399052043303508,
221
+ 0.7516990114357899,
222
+ 0.7396020413628115
223
+ ],
224
+ [
225
+ 0.7450585801630638,
226
+ 0.758635054745315,
227
+ 0.7459381980222356
228
+ ],
229
+ [
230
+ 0.7486233579715789,
231
+ 0.7635127413850462,
232
+ 0.7503975025757113
233
+ ],
234
+ [
235
+ 0.7506085095945604,
236
+ 0.7660338317032662,
237
+ 0.7527471259540797
238
+ ]
239
+ ],
240
+ "dead_neurons": [
241
+ 0.8251817728856539,
242
+ 0.9209481421368761,
243
+ 0.938547431691933,
244
+ 0.9455491582065455,
245
+ 0.9474377562550168,
246
+ 0.9478445504049913,
247
+ 0.9481044397393097,
248
+ 0.9483923346969863
249
+ ],
250
+ "l0_base": [
251
+ 122.81553191158831,
252
+ 71.9831704531089,
253
+ 69.71891667977872,
254
+ 70.34604508711175,
255
+ 71.18635331046421,
256
+ 71.91148830086462,
257
+ 72.40551057449225,
258
+ 72.56579238437313
259
+ ],
260
+ "l0_aligned": [
261
+ 120.45206745145478,
262
+ 70.08135951365634,
263
+ 68.22040639588934,
264
+ 69.04911226316008,
265
+ 70.0548162777662,
266
+ 70.8352816949723,
267
+ 71.34535182545356,
268
+ 71.49325877299312
269
+ ],
270
+ "l0_base_by_layer": [
271
+ [
272
+ 118.74589535901926,
273
+ 128.91064652656158,
274
+ 120.79004305312317
275
+ ],
276
+ [
277
+ 66.35310858143608,
278
+ 77.13875510799767,
279
+ 72.45764010507881
280
+ ],
281
+ [
282
+ 64.13255253940456,
283
+ 74.27643388791594,
284
+ 70.74775612959719
285
+ ],
286
+ [
287
+ 64.46885945709282,
288
+ 74.79894556333917,
289
+ 71.77032253356684
290
+ ],
291
+ [
292
+ 64.90116024518389,
293
+ 75.86810420315237,
294
+ 72.78978765323993
295
+ ],
296
+ [
297
+ 65.39627116170462,
298
+ 76.67996570344425,
299
+ 73.65822022767075
300
+ ],
301
+ [
302
+ 65.74297650321074,
303
+ 77.21875,
304
+ 74.25479786923526
305
+ ],
306
+ [
307
+ 65.87950598365441,
308
+ 77.39068884997081,
309
+ 74.42717454757735
310
+ ]
311
+ ],
312
+ "l0_aligned_by_layer": [
313
+ [
314
+ 116.07992192060712,
315
+ 126.7527911558669,
316
+ 118.5234785464098
317
+ ],
318
+ [
319
+ 64.79454903677758,
320
+ 75.25406815528314,
321
+ 70.19545388207823
322
+ ],
323
+ [
324
+ 62.91434982486865,
325
+ 72.8939908056042,
326
+ 68.85287142440164
327
+ ],
328
+ [
329
+ 63.436168272037364,
330
+ 73.59661412726211,
331
+ 70.11454684763572
332
+ ],
333
+ [
334
+ 64.01977524810275,
335
+ 74.81717016929363,
336
+ 71.32749562171628
337
+ ],
338
+ [
339
+ 64.54589900758903,
340
+ 75.69902948044367,
341
+ 72.26090922358435
342
+ ],
343
+ [
344
+ 64.89926298890835,
345
+ 76.2488507005254,
346
+ 72.88793417980152
347
+ ],
348
+ [
349
+ 65.02563120256859,
350
+ 76.39641710449504,
351
+ 73.05772037361355
352
+ ]
353
+ ],
354
+ "val_l0_base": [
355
+ 76.49160407101297,
356
+ 70.97358811463361,
357
+ 70.95724511271372,
358
+ 71.47397028338847,
359
+ 72.43973876793348,
360
+ 73.11534937514061,
361
+ 73.76003732731205,
362
+ 73.926813095652
363
+ ],
364
+ "val_l0_aligned": [
365
+ 74.33240896494601,
366
+ 69.36982145858684,
367
+ 69.4520821895899,
368
+ 70.27299892964787,
369
+ 71.31917416238036,
370
+ 72.01872736746104,
371
+ 72.6189672659829,
372
+ 72.80583123012363
373
+ ],
374
+ "val_l0_base_by_layer": [
375
+ [
376
+ 71.06309992605479,
377
+ 81.90434121336612,
378
+ 76.50736256544502
379
+ ],
380
+ [
381
+ 65.58780542343699,
382
+ 75.84931282722513,
383
+ 71.4836387434555
384
+ ],
385
+ [
386
+ 65.15881327684014,
387
+ 75.9324280104712,
388
+ 71.78048650132423
389
+ ],
390
+ [
391
+ 65.38819809359406,
392
+ 76.04368455497382,
393
+ 72.99001963350786
394
+ ],
395
+ [
396
+ 65.94060863874346,
397
+ 77.31413612565446,
398
+ 74.06446335078535
399
+ ],
400
+ [
401
+ 66.21487786258078,
402
+ 78.58327879581152,
403
+ 74.5478839574684
404
+ ],
405
+ [
406
+ 66.78883074216193,
407
+ 78.99601877422234,
408
+ 75.49525523560209
409
+ ],
410
+ [
411
+ 66.95953317212809,
412
+ 79.07449828142894,
413
+ 75.74640052356021
414
+ ]
415
+ ],
416
+ "val_l0_aligned_by_layer": [
417
+ [
418
+ 69.02165142279021,
419
+ 79.69671686781639,
420
+ 74.27885037566979
421
+ ],
422
+ [
423
+ 64.39103403141361,
424
+ 74.18613657526944,
425
+ 69.53228623954413
426
+ ],
427
+ [
428
+ 64.11643762238987,
429
+ 74.32455280563595,
430
+ 69.91524869109948
431
+ ],
432
+ [
433
+ 64.30650089923,
434
+ 74.89954188481676,
435
+ 71.61294723430854
436
+ ],
437
+ [
438
+ 65.01974259621186,
439
+ 76.24001963350786,
440
+ 72.69775306741604
441
+ ],
442
+ [
443
+ 65.35089442867259,
444
+ 77.4901832460733,
445
+ 73.21509599935322
446
+ ],
447
+ [
448
+ 65.92861039725898,
449
+ 77.88917976898672,
450
+ 74.03910340314137
451
+ ],
452
+ [
453
+ 66.10427576833995,
454
+ 77.96798650132423,
455
+ 74.345222513089
456
+ ]
457
+ ],
458
+ "self_recon": [
459
+ 0.02193356184663998,
460
+ 0.014888795948996749,
461
+ 0.013875963434389963,
462
+ 0.01332928908535405,
463
+ 0.012942727989535094,
464
+ 0.012629872625090195,
465
+ 0.01240713675862523,
466
+ 0.0122898029934417
467
+ ],
468
+ "cross_recon": [
469
+ 0.021982848598587533,
470
+ 0.014899624472454635,
471
+ 0.013884901132715144,
472
+ 0.013345333213129033,
473
+ 0.012980348698064137,
474
+ 0.012693466444679748,
475
+ 0.01248658779612756,
476
+ 0.012374734249394398
477
+ ],
478
+ "sparsity": [
479
+ 0.0185911877384443,
480
+ 0.0034088352408316648,
481
+ 0.0035169509899249584,
482
+ 0.003620224341834959,
483
+ 0.0037071341942284653,
484
+ 0.003776734722430246,
485
+ 0.003819030247437314,
486
+ 0.0038335026406030068
487
+ ],
488
+ "val_self_recon": [
489
+ 0.015641372377803813,
490
+ 0.0142965954509003,
491
+ 0.013740274357897138,
492
+ 0.01342776762955476,
493
+ 0.01321699334727844,
494
+ 0.013085065687475092,
495
+ 0.013020418755007975,
496
+ 0.013006328848917136
497
+ ],
498
+ "val_cross_recon": [
499
+ 0.015651532453704254,
500
+ 0.014301301360481385,
501
+ 0.01374460689489442,
502
+ 0.013433509164962781,
503
+ 0.01322502375663263,
504
+ 0.013095491239069643,
505
+ 0.01303206530463009,
506
+ 0.01301817703231467
507
+ ],
508
+ "val_sparsity": [
509
+ 0.0034105214412221735,
510
+ 0.0034830576559792014,
511
+ 0.003554232013826283,
512
+ 0.0036147583790455034,
513
+ 0.003684367384781076,
514
+ 0.0037306925289196336,
515
+ 0.0037664351192502918,
516
+ 0.0037778712521399816
517
+ ],
518
+ "layers": [
519
+ 17,
520
+ 18,
521
+ 19
522
+ ],
523
+ "topk_mode": "model_balanced_layer_agg"
524
+ }
v1/assembled_activations/smollm3-simpo/plots/aligned_decoder_norm_heatmap.png ADDED

Git LFS Details

  • SHA256: b6d755fd665eceb77785536f1f443c58d1dc0999b6bd8a441567aaac78d66bb5
  • Pointer size: 131 Bytes
  • Size of remote file: 172 kB
v1/assembled_activations/smollm3-simpo/plots/base_decoder_norm_heatmap.png ADDED

Git LFS Details

  • SHA256: 603ff971731542cfb7d26132810d8ec2ac045f279c1f5392b4e24cf4c9af7b26
  • Pointer size: 131 Bytes
  • Size of remote file: 171 kB
v1/assembled_activations/smollm3-simpo/plots/cf_shift_by_layer.png ADDED

Git LFS Details

  • SHA256: 0f1a79bd5f08acd408c00bec960e140243b7318b7b0f9e35f8b318db3043a4d1
  • Pointer size: 130 Bytes
  • Size of remote file: 43.9 kB
v1/assembled_activations/smollm3-simpo/plots/cf_shift_p95_by_layer.png ADDED

Git LFS Details

  • SHA256: 14649fff9ae66a16de0ae1956a5ae9d697e8558ae5dada1d768dfde126f2bf6d
  • Pointer size: 131 Bytes
  • Size of remote file: 107 kB
v1/assembled_activations/smollm3-simpo/plots/class_distribution_multilayer.png ADDED

Git LFS Details

  • SHA256: 4490bf090d6fe45042069b89ba63a8edeece08f2b2db33f773d1bb42f25c0024
  • Pointer size: 130 Bytes
  • Size of remote file: 82.6 kB
v1/assembled_activations/smollm3-simpo/plots/class_distribution_primary.png ADDED

Git LFS Details

  • SHA256: 750cb994af8dde19e8952b2586348f356555eed1ebdbab0c8c1f25bc3fe09733
  • Pointer size: 131 Bytes
  • Size of remote file: 142 kB
v1/assembled_activations/smollm3-simpo/plots/cross_layer_cosine_drift_by_stream.png ADDED

Git LFS Details

  • SHA256: c01b5cf18b7f42ed032553344a25b828a8c31dc44d781ee916557d4af2a03c51
  • Pointer size: 130 Bytes
  • Size of remote file: 50.2 kB
v1/assembled_activations/smollm3-simpo/plots/decoder_norm_ratio_by_layer.png ADDED

Git LFS Details

  • SHA256: c28000a3b6b1349959e66387202f47e3e3efdfccfc96f13f999aa751d11fc59f
  • Pointer size: 130 Bytes
  • Size of remote file: 50.8 kB
v1/assembled_activations/smollm3-simpo/plots/feature_layer_trajectories.png ADDED

Git LFS Details

  • SHA256: 5c3ae357ae36c276e77a70a5a3cf25509ce57e51dbcf52a7af0434114bd63298
  • Pointer size: 131 Bytes
  • Size of remote file: 533 kB
v1/assembled_activations/smollm3-simpo/plots/feature_sharing_ratio_by_layer.png ADDED

Git LFS Details

  • SHA256: 50cad2eded0ca584e9ecc96f7d68f22db1e7d2df0b800034b5591909f3fd6822
  • Pointer size: 130 Bytes
  • Size of remote file: 55.8 kB
v1/assembled_activations/smollm3-simpo/plots/fve_by_layer.png ADDED

Git LFS Details

  • SHA256: cb1030aac69d8b190902c2de32b75f5f7f2561e7168be154dded2cd46e2581b1
  • Pointer size: 131 Bytes
  • Size of remote file: 126 kB
v1/assembled_activations/smollm3-simpo/plots/l0_by_layer.png ADDED

Git LFS Details

  • SHA256: c856c7e0c59893ac04b21f995f9fb48773b408ceda668ad2c3fd63ea046afef5
  • Pointer size: 131 Bytes
  • Size of remote file: 113 kB
v1/assembled_activations/smollm3-simpo/plots/layer_concentration_entropy.png ADDED

Git LFS Details

  • SHA256: fd1f332c3cf85b4085138ccd28adada10c68030f0b781fa281546b87ee222f4a
  • Pointer size: 131 Bytes
  • Size of remote file: 106 kB
v1/assembled_activations/smollm3-simpo/plots/loss_curves.png ADDED

Git LFS Details

  • SHA256: 7cb8c90bac0f4cf51e81618810447b0a2ae6fce9208bf6883bee065409915662
  • Pointer size: 131 Bytes
  • Size of remote file: 324 kB
v1/assembled_activations/smollm3-simpo/plots/max_norm_layer_migration.png ADDED

Git LFS Details

  • SHA256: d675458f63431227dedb076c6537bd7fa0ae8f2b9889b8e62a51f3941e08d434
  • Pointer size: 130 Bytes
  • Size of remote file: 81.7 kB
v1/assembled_activations/smollm3-simpo/plots/rho_histogram_by_layer.png ADDED

Git LFS Details

  • SHA256: 05a8440f8a854967a47e740bbcd25fc780ffdf16e4c8503532bd923ec8898197
  • Pointer size: 130 Bytes
  • Size of remote file: 54.5 kB
v1/assembled_activations/smollm3-simpo/plots/rho_theta_scatter_by_layer.png ADDED

Git LFS Details

  • SHA256: 5ea3cdf812d5d67ca02036135a9cfb9c7c3cdc8c95e7f37278ac83f8c01d55e6
  • Pointer size: 132 Bytes
  • Size of remote file: 1.61 MB
v1/assembled_activations/smollm3-simpo/plots/superposition_by_layer.png ADDED

Git LFS Details

  • SHA256: 3f229cf7265fba79fdb8cc9bc0eeeff2365feec032b88fa47934fd487bbb58a8
  • Pointer size: 131 Bytes
  • Size of remote file: 112 kB
v1/assembled_activations/smollm3-simpo/plots/theta_by_layer.png ADDED

Git LFS Details

  • SHA256: a5257de8c5a09f550b70828f361a39637b088836ad35e9310ce6ede6c3d42794
  • Pointer size: 130 Bytes
  • Size of remote file: 61.9 kB
v1/assembled_activations/smollm3-simpo/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-SimPO-merged",
6
+ "aligned_run_id": "smollm3-simpo",
7
+ "layers": [
8
+ 17,
9
+ 18,
10
+ 19
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-simpo/activations/aligned_activations.pt",
27
+ "activation_artifact": "interp_utils/crosscoder/results-multi-v1/assembled_activations/smollm3-simpo/activations/activations.pt"
28
+ }