Add 50K persistent-channel scan for Qwen/Qwen3.5-9B
Browse files- .gitattributes +1 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/COMPLETE.json +461 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/TOP.txt +107 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/layer_features.csv +3 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/persistent_channels.csv +0 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/runtime.json +45 -0
.gitattributes
CHANGED
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@@ -59,3 +59,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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| 59 |
*.mp4 filter=lfs diff=lfs merge=lfs -text
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| 60 |
*.webm filter=lfs diff=lfs merge=lfs -text
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| 61 |
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/layer_features.csv filter=lfs diff=lfs merge=lfs -text
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| 59 |
*.mp4 filter=lfs diff=lfs merge=lfs -text
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| 60 |
*.webm filter=lfs diff=lfs merge=lfs -text
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analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/layer_features.csv filter=lfs diff=lfs merge=lfs -text
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| 62 |
+
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/layer_features.csv filter=lfs diff=lfs merge=lfs -text
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analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/COMPLETE.json
ADDED
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@@ -0,0 +1,461 @@
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| 1 |
+
{
|
| 2 |
+
"model": "Qwen/Qwen3.5-9B",
|
| 3 |
+
"complete": true,
|
| 4 |
+
"prompt_pipeline": "original_qwen35_2b_v1",
|
| 5 |
+
"sequences": 50000,
|
| 6 |
+
"n_layers": 32,
|
| 7 |
+
"hidden_size": 4096,
|
| 8 |
+
"top_channels": [
|
| 9 |
+
{
|
| 10 |
+
"model": "Qwen/Qwen3.5-9B",
|
| 11 |
+
"feature_index": 3994,
|
| 12 |
+
"persistent_channel_score": 0.9832802838292989,
|
| 13 |
+
"layer_count": 32,
|
| 14 |
+
"layer_coverage": 1.0,
|
| 15 |
+
"near_universal_layer_fraction": 1.0,
|
| 16 |
+
"mean_universal_score": 0.9831366048676371,
|
| 17 |
+
"min_universal_score": 0.9401541665764916,
|
| 18 |
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"min_worst_group_sign_consistency": 0.9922330097087378,
|
| 19 |
+
"min_worst_group_strong_coverage": 0.9922330097087378,
|
| 20 |
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"mean_topk_coverage": 0.9999125,
|
| 21 |
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"median_relative_strength": 782.0693185305736,
|
| 22 |
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"median_magnitude_cv": 0.057514104723956634,
|
| 23 |
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"cross_layer_sign_stability": 1.0,
|
| 24 |
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"mean_activation_across_layers": 34.787914524956314,
|
| 25 |
+
"max_abs_mean_activation": 87.71357352142334
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"model": "Qwen/Qwen3.5-9B",
|
| 29 |
+
"feature_index": 310,
|
| 30 |
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"persistent_channel_score": 0.9774167214688596,
|
| 31 |
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"layer_count": 32,
|
| 32 |
+
"layer_coverage": 1.0,
|
| 33 |
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"near_universal_layer_fraction": 1.0,
|
| 34 |
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"mean_universal_score": 0.9798788937215834,
|
| 35 |
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"min_universal_score": 0.9733541288691183,
|
| 36 |
+
"min_worst_group_sign_consistency": 1.0,
|
| 37 |
+
"min_worst_group_strong_coverage": 1.0,
|
| 38 |
+
"mean_topk_coverage": 0.999988125,
|
| 39 |
+
"median_relative_strength": 171.66217943877493,
|
| 40 |
+
"median_magnitude_cv": 0.09990267063830857,
|
| 41 |
+
"cross_layer_sign_stability": 1.0,
|
| 42 |
+
"mean_activation_across_layers": -8.160289366860017,
|
| 43 |
+
"max_abs_mean_activation": 20.37851776111603
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"model": "Qwen/Qwen3.5-9B",
|
| 47 |
+
"feature_index": 3842,
|
| 48 |
+
"persistent_channel_score": 0.6824703935419891,
|
| 49 |
+
"layer_count": 32,
|
| 50 |
+
"layer_coverage": 1.0,
|
| 51 |
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"near_universal_layer_fraction": 0.0625,
|
| 52 |
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"mean_universal_score": 0.8466529702109629,
|
| 53 |
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"min_universal_score": 0.6629069274569779,
|
| 54 |
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"min_worst_group_sign_consistency": 0.5016611295681064,
|
| 55 |
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"min_worst_group_strong_coverage": 0.7457627118644068,
|
| 56 |
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"mean_topk_coverage": 0.895684375,
|
| 57 |
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"median_relative_strength": 54.703939702048544,
|
| 58 |
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"median_magnitude_cv": 0.4554144810108902,
|
| 59 |
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"cross_layer_sign_stability": 0.9375,
|
| 60 |
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"mean_activation_across_layers": -3.0776149594628963,
|
| 61 |
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"max_abs_mean_activation": 10.81775592923388
|
| 62 |
+
},
|
| 63 |
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{
|
| 64 |
+
"model": "Qwen/Qwen3.5-9B",
|
| 65 |
+
"feature_index": 577,
|
| 66 |
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"persistent_channel_score": 0.6807519925473149,
|
| 67 |
+
"layer_count": 32,
|
| 68 |
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"layer_coverage": 1.0,
|
| 69 |
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"near_universal_layer_fraction": 0.65625,
|
| 70 |
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"mean_universal_score": 0.8440982261531813,
|
| 71 |
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"min_universal_score": 0.22807274622038765,
|
| 72 |
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"min_worst_group_sign_consistency": 0.5068870523415978,
|
| 73 |
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"min_worst_group_strong_coverage": 0.024113475177304965,
|
| 74 |
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"mean_topk_coverage": 0.808735,
|
| 75 |
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"median_relative_strength": 44.74918142864986,
|
| 76 |
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"median_magnitude_cv": 0.26485183251055044,
|
| 77 |
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"cross_layer_sign_stability": 1.0,
|
| 78 |
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"mean_activation_across_layers": -1.5611329158700806,
|
| 79 |
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"max_abs_mean_activation": 3.0822537877397425
|
| 80 |
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},
|
| 81 |
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{
|
| 82 |
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"model": "Qwen/Qwen3.5-9B",
|
| 83 |
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"feature_index": 2805,
|
| 84 |
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"persistent_channel_score": 0.6759987734378081,
|
| 85 |
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"layer_count": 32,
|
| 86 |
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"layer_coverage": 1.0,
|
| 87 |
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"near_universal_layer_fraction": 0.625,
|
| 88 |
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"mean_universal_score": 0.844043731779804,
|
| 89 |
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"min_universal_score": 0.2582460981503759,
|
| 90 |
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"min_worst_group_sign_consistency": 0.5013812154696132,
|
| 91 |
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"min_worst_group_strong_coverage": 0.11243611584327087,
|
| 92 |
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"mean_topk_coverage": 0.827679375,
|
| 93 |
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"median_relative_strength": 35.564852274759204,
|
| 94 |
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"median_magnitude_cv": 0.36349237497878806,
|
| 95 |
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"cross_layer_sign_stability": 0.9375,
|
| 96 |
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"mean_activation_across_layers": -3.054954486777522,
|
| 97 |
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"max_abs_mean_activation": 9.276705560992136
|
| 98 |
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},
|
| 99 |
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{
|
| 100 |
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"model": "Qwen/Qwen3.5-9B",
|
| 101 |
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"feature_index": 22,
|
| 102 |
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"persistent_channel_score": 0.6250839910653923,
|
| 103 |
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"layer_count": 32,
|
| 104 |
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"layer_coverage": 1.0,
|
| 105 |
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"near_universal_layer_fraction": 0.53125,
|
| 106 |
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"mean_universal_score": 0.7810619664616076,
|
| 107 |
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"min_universal_score": 0.3068681089549495,
|
| 108 |
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"min_worst_group_sign_consistency": 0.5106796116504855,
|
| 109 |
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"min_worst_group_strong_coverage": 0.08608321377331421,
|
| 110 |
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"mean_topk_coverage": 0.6812162500000001,
|
| 111 |
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"median_relative_strength": 36.92655774843156,
|
| 112 |
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"median_magnitude_cv": 0.861872712735336,
|
| 113 |
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"cross_layer_sign_stability": 0.9375,
|
| 114 |
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"mean_activation_across_layers": 2.2792183562907162,
|
| 115 |
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"max_abs_mean_activation": 7.223741364285159
|
| 116 |
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},
|
| 117 |
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{
|
| 118 |
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"model": "Qwen/Qwen3.5-9B",
|
| 119 |
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"feature_index": 2379,
|
| 120 |
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"persistent_channel_score": 0.6157182808732331,
|
| 121 |
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"layer_count": 32,
|
| 122 |
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"layer_coverage": 1.0,
|
| 123 |
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"near_universal_layer_fraction": 0.53125,
|
| 124 |
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"mean_universal_score": 0.7655748070804614,
|
| 125 |
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"min_universal_score": 0.2568179913877759,
|
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"layer_coverage": 1.0,
|
| 429 |
+
"near_universal_layer_fraction": 0.03125,
|
| 430 |
+
"mean_universal_score": 0.6090025845329385,
|
| 431 |
+
"min_universal_score": 0.29697537388388284,
|
| 432 |
+
"min_worst_group_sign_consistency": 0.5034387895460798,
|
| 433 |
+
"min_worst_group_strong_coverage": 0.10359712230215827,
|
| 434 |
+
"mean_topk_coverage": 0.5014125,
|
| 435 |
+
"median_relative_strength": 12.170294142447739,
|
| 436 |
+
"median_magnitude_cv": 0.4783217988327595,
|
| 437 |
+
"cross_layer_sign_stability": 1.0,
|
| 438 |
+
"mean_activation_across_layers": 0.6656376711179197,
|
| 439 |
+
"max_abs_mean_activation": 1.797073306707202
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"model": "Qwen/Qwen3.5-9B",
|
| 443 |
+
"feature_index": 1504,
|
| 444 |
+
"persistent_channel_score": 0.5229966317804196,
|
| 445 |
+
"layer_count": 32,
|
| 446 |
+
"layer_coverage": 1.0,
|
| 447 |
+
"near_universal_layer_fraction": 0.0,
|
| 448 |
+
"mean_universal_score": 0.584273234538977,
|
| 449 |
+
"min_universal_score": 0.32386792300091316,
|
| 450 |
+
"min_worst_group_sign_consistency": 0.5,
|
| 451 |
+
"min_worst_group_strong_coverage": 0.17385057471264367,
|
| 452 |
+
"mean_topk_coverage": 0.480595625,
|
| 453 |
+
"median_relative_strength": 13.935142165357341,
|
| 454 |
+
"median_magnitude_cv": 0.536087272676516,
|
| 455 |
+
"cross_layer_sign_stability": 1.0,
|
| 456 |
+
"mean_activation_across_layers": -0.7944859605176229,
|
| 457 |
+
"max_abs_mean_activation": 2.4049692755256666
|
| 458 |
+
}
|
| 459 |
+
],
|
| 460 |
+
"finished_at": "2026-10-20T11:51:08"
|
| 461 |
+
}
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/TOP.txt
ADDED
|
@@ -0,0 +1,107 @@
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|
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|
|
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|
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|
|
|
|
|
|
| 1 |
+
MODEL: Qwen/Qwen3.5-9B
|
| 2 |
+
SEQUENCES: 50,000
|
| 3 |
+
LAYERS: 32
|
| 4 |
+
HIDDEN SIZE: 4096
|
| 5 |
+
|
| 6 |
+
TOP PERSISTENT CHANNELS
|
| 7 |
+
========================================================================================================================
|
| 8 |
+
feature= 3994 score=0.983280 nearLayers=1.000 meanU=0.9831 minWGsign=0.9922 minWGstrong=0.9922 topK=0.9999 rel=782.07x CV=0.0575 signStable=1.000
|
| 9 |
+
feature= 310 score=0.977417 nearLayers=1.000 meanU=0.9799 minWGsign=1.0000 minWGstrong=1.0000 topK=1.0000 rel=171.66x CV=0.0999 signStable=1.000
|
| 10 |
+
feature= 3842 score=0.682470 nearLayers=0.062 meanU=0.8467 minWGsign=0.5017 minWGstrong=0.7458 topK=0.8957 rel=54.70x CV=0.4554 signStable=0.938
|
| 11 |
+
feature= 577 score=0.680752 nearLayers=0.656 meanU=0.8441 minWGsign=0.5069 minWGstrong=0.0241 topK=0.8087 rel=44.75x CV=0.2649 signStable=1.000
|
| 12 |
+
feature= 2805 score=0.675999 nearLayers=0.625 meanU=0.8440 minWGsign=0.5014 minWGstrong=0.1124 topK=0.8277 rel=35.56x CV=0.3635 signStable=0.938
|
| 13 |
+
feature= 22 score=0.625084 nearLayers=0.531 meanU=0.7811 minWGsign=0.5107 minWGstrong=0.0861 topK=0.6812 rel=36.93x CV=0.8619 signStable=0.938
|
| 14 |
+
feature= 2379 score=0.615718 nearLayers=0.531 meanU=0.7656 minWGsign=0.5000 minWGstrong=0.0030 topK=0.6540 rel=21.09x CV=0.2495 signStable=0.812
|
| 15 |
+
feature= 736 score=0.579469 nearLayers=0.219 meanU=0.7144 minWGsign=0.5007 minWGstrong=0.0890 topK=0.6660 rel=23.85x CV=0.4059 signStable=0.938
|
| 16 |
+
feature= 2862 score=0.574181 nearLayers=0.031 meanU=0.7477 minWGsign=0.5007 minWGstrong=0.2105 topK=0.6661 rel=26.02x CV=0.3957 signStable=0.938
|
| 17 |
+
feature= 14 score=0.573183 nearLayers=0.188 meanU=0.7273 minWGsign=0.5000 minWGstrong=0.0225 topK=0.6281 rel=23.05x CV=0.2669 signStable=0.938
|
| 18 |
+
feature= 3684 score=0.561969 nearLayers=0.062 meanU=0.7453 minWGsign=0.5031 minWGstrong=0.0838 topK=0.6085 rel=18.85x CV=0.3014 signStable=0.938
|
| 19 |
+
feature= 2663 score=0.558218 nearLayers=0.000 meanU=0.7373 minWGsign=0.5000 minWGstrong=0.0682 topK=0.6757 rel=24.80x CV=0.3717 signStable=1.000
|
| 20 |
+
feature= 2519 score=0.553490 nearLayers=0.000 meanU=0.6130 minWGsign=0.5000 minWGstrong=0.3324 topK=0.5630 rel=16.33x CV=0.7369 signStable=1.000
|
| 21 |
+
feature= 1721 score=0.551861 nearLayers=0.000 meanU=0.6853 minWGsign=0.5029 minWGstrong=0.1997 topK=0.5601 rel=17.23x CV=0.4866 signStable=1.000
|
| 22 |
+
feature= 1726 score=0.550495 nearLayers=0.000 meanU=0.6002 minWGsign=0.5007 minWGstrong=0.4068 topK=0.6416 rel=11.08x CV=0.7556 signStable=0.875
|
| 23 |
+
feature= 2768 score=0.546873 nearLayers=0.125 meanU=0.6829 minWGsign=0.5000 minWGstrong=0.2360 topK=0.5789 rel=25.80x CV=0.6117 signStable=0.750
|
| 24 |
+
feature= 253 score=0.544435 nearLayers=0.000 meanU=0.6837 minWGsign=0.5000 minWGstrong=0.1912 topK=0.6802 rel=24.61x CV=0.3330 signStable=0.750
|
| 25 |
+
feature= 3288 score=0.536874 nearLayers=0.000 meanU=0.6173 minWGsign=0.5007 minWGstrong=0.2152 topK=0.5211 rel=13.52x CV=0.5238 signStable=1.000
|
| 26 |
+
feature= 1778 score=0.529450 nearLayers=0.000 meanU=0.6284 minWGsign=0.5010 minWGstrong=0.1722 topK=0.5211 rel=16.32x CV=0.5008 signStable=0.938
|
| 27 |
+
feature= 4010 score=0.526083 nearLayers=0.000 meanU=0.5604 minWGsign=0.5021 minWGstrong=0.3221 topK=0.5726 rel=7.10x CV=0.6651 signStable=0.938
|
| 28 |
+
feature= 4042 score=0.526010 nearLayers=0.375 meanU=0.6494 minWGsign=0.5008 minWGstrong=0.0303 topK=0.4383 rel=9.31x CV=0.3191 signStable=0.625
|
| 29 |
+
feature= 1284 score=0.523915 nearLayers=0.000 meanU=0.5840 minWGsign=0.5000 minWGstrong=0.2144 topK=0.4695 rel=12.10x CV=0.5491 signStable=1.000
|
| 30 |
+
feature= 2028 score=0.523631 nearLayers=0.000 meanU=0.6236 minWGsign=0.5007 minWGstrong=0.2256 topK=0.5605 rel=24.23x CV=0.6414 signStable=0.812
|
| 31 |
+
feature= 4078 score=0.523335 nearLayers=0.031 meanU=0.6090 minWGsign=0.5034 minWGstrong=0.1036 topK=0.5014 rel=12.17x CV=0.4783 signStable=1.000
|
| 32 |
+
feature= 1504 score=0.522997 nearLayers=0.000 meanU=0.5843 minWGsign=0.5000 minWGstrong=0.1739 topK=0.4806 rel=13.94x CV=0.5361 signStable=1.000
|
| 33 |
+
feature= 1236 score=0.522655 nearLayers=0.312 meanU=0.6203 minWGsign=0.5007 minWGstrong=0.0716 topK=0.3569 rel=7.40x CV=0.3520 signStable=0.812
|
| 34 |
+
feature= 2766 score=0.516220 nearLayers=0.000 meanU=0.6267 minWGsign=0.5000 minWGstrong=0.1165 topK=0.3942 rel=13.98x CV=0.4394 signStable=1.000
|
| 35 |
+
feature= 286 score=0.516020 nearLayers=0.000 meanU=0.5911 minWGsign=0.5000 minWGstrong=0.1281 topK=0.5109 rel=11.17x CV=0.5576 signStable=1.000
|
| 36 |
+
feature= 1277 score=0.513158 nearLayers=0.000 meanU=0.5826 minWGsign=0.5007 minWGstrong=0.1816 topK=0.4580 rel=12.59x CV=0.5409 signStable=0.938
|
| 37 |
+
feature= 2723 score=0.508147 nearLayers=0.000 meanU=0.6430 minWGsign=0.5000 minWGstrong=0.0367 topK=0.4969 rel=17.46x CV=0.4204 signStable=0.875
|
| 38 |
+
feature= 1546 score=0.505572 nearLayers=0.000 meanU=0.5642 minWGsign=0.5008 minWGstrong=0.2037 topK=0.4503 rel=8.45x CV=0.5162 signStable=0.938
|
| 39 |
+
feature= 599 score=0.505068 nearLayers=0.000 meanU=0.6113 minWGsign=0.5000 minWGstrong=0.0710 topK=0.4106 rel=13.90x CV=0.4028 signStable=0.938
|
| 40 |
+
feature= 3769 score=0.503755 nearLayers=0.062 meanU=0.6356 minWGsign=0.5007 minWGstrong=0.0083 topK=0.3513 rel=13.00x CV=0.3663 signStable=0.938
|
| 41 |
+
feature= 1030 score=0.498934 nearLayers=0.000 meanU=0.6125 minWGsign=0.5000 minWGstrong=0.2177 topK=0.4809 rel=18.62x CV=0.7455 signStable=0.688
|
| 42 |
+
feature= 3986 score=0.498317 nearLayers=0.000 meanU=0.5986 minWGsign=0.5000 minWGstrong=0.0000 topK=0.4906 rel=8.85x CV=0.3123 signStable=0.938
|
| 43 |
+
feature= 763 score=0.497593 nearLayers=0.000 meanU=0.6490 minWGsign=0.5022 minWGstrong=0.0117 topK=0.2699 rel=11.32x CV=0.2928 signStable=1.000
|
| 44 |
+
feature= 505 score=0.497260 nearLayers=0.219 meanU=0.5393 minWGsign=0.5000 minWGstrong=0.0113 topK=0.3388 rel=4.48x CV=0.3643 signStable=1.000
|
| 45 |
+
feature= 2255 score=0.496894 nearLayers=0.219 meanU=0.5539 minWGsign=0.5000 minWGstrong=0.0194 topK=0.2961 rel=5.40x CV=0.4148 signStable=1.000
|
| 46 |
+
feature= 2038 score=0.495904 nearLayers=0.000 meanU=0.5572 minWGsign=0.5000 minWGstrong=0.1431 topK=0.4446 rel=9.53x CV=0.6138 signStable=0.938
|
| 47 |
+
feature= 3991 score=0.495702 nearLayers=0.000 meanU=0.6092 minWGsign=0.5014 minWGstrong=0.0745 topK=0.3587 rel=12.80x CV=0.4709 signStable=0.938
|
| 48 |
+
feature= 1151 score=0.493981 nearLayers=0.000 meanU=0.5257 minWGsign=0.5000 minWGstrong=0.2479 topK=0.4165 rel=6.94x CV=0.7545 signStable=0.938
|
| 49 |
+
feature= 344 score=0.492293 nearLayers=0.000 meanU=0.5739 minWGsign=0.5007 minWGstrong=0.0928 topK=0.3987 rel=10.33x CV=0.4849 signStable=0.938
|
| 50 |
+
feature= 1097 score=0.489836 nearLayers=0.000 meanU=0.5196 minWGsign=0.5007 minWGstrong=0.1794 topK=0.3520 rel=8.56x CV=0.6413 signStable=1.000
|
| 51 |
+
feature= 2112 score=0.489414 nearLayers=0.000 meanU=0.5963 minWGsign=0.5014 minWGstrong=0.0395 topK=0.3211 rel=9.84x CV=0.4040 signStable=1.000
|
| 52 |
+
feature= 3984 score=0.488099 nearLayers=0.000 meanU=0.5394 minWGsign=0.5000 minWGstrong=0.1482 topK=0.3452 rel=7.53x CV=0.5228 signStable=1.000
|
| 53 |
+
feature= 2813 score=0.486147 nearLayers=0.000 meanU=0.5603 minWGsign=0.5000 minWGstrong=0.0502 topK=0.4238 rel=10.47x CV=0.5283 signStable=0.938
|
| 54 |
+
feature= 3140 score=0.485848 nearLayers=0.125 meanU=0.5529 minWGsign=0.5007 minWGstrong=0.1607 topK=0.3482 rel=5.79x CV=0.5221 signStable=0.812
|
| 55 |
+
feature= 56 score=0.483657 nearLayers=0.000 meanU=0.5706 minWGsign=0.5000 minWGstrong=0.5540 topK=0.5641 rel=7.66x CV=0.6277 signStable=0.188
|
| 56 |
+
feature= 3011 score=0.483420 nearLayers=0.000 meanU=0.5244 minWGsign=0.5000 minWGstrong=0.0771 topK=0.3858 rel=8.29x CV=0.4990 signStable=1.000
|
| 57 |
+
feature= 3236 score=0.482211 nearLayers=0.000 meanU=0.5160 minWGsign=0.5000 minWGstrong=0.1958 topK=0.3140 rel=8.27x CV=0.5687 signStable=0.938
|
| 58 |
+
feature= 1338 score=0.481458 nearLayers=0.031 meanU=0.5850 minWGsign=0.5081 minWGstrong=0.0061 topK=0.2294 rel=10.02x CV=0.3735 signStable=1.000
|
| 59 |
+
feature= 1270 score=0.480635 nearLayers=0.344 meanU=0.6337 minWGsign=0.5007 minWGstrong=0.0017 topK=0.2907 rel=9.03x CV=0.3341 signStable=0.438
|
| 60 |
+
feature= 2323 score=0.479983 nearLayers=0.000 meanU=0.5599 minWGsign=0.5011 minWGstrong=0.0518 topK=0.3234 rel=10.34x CV=0.4225 signStable=0.938
|
| 61 |
+
feature= 2227 score=0.478286 nearLayers=0.000 meanU=0.5095 minWGsign=0.5000 minWGstrong=0.1435 topK=0.2870 rel=7.42x CV=0.4886 signStable=1.000
|
| 62 |
+
feature= 2594 score=0.476342 nearLayers=0.000 meanU=0.5346 minWGsign=0.5008 minWGstrong=0.0404 topK=0.2745 rel=10.55x CV=0.4305 signStable=1.000
|
| 63 |
+
feature= 2730 score=0.476210 nearLayers=0.000 meanU=0.4797 minWGsign=0.5000 minWGstrong=0.1825 topK=0.3611 rel=5.61x CV=0.7215 signStable=1.000
|
| 64 |
+
feature= 3595 score=0.472763 nearLayers=0.000 meanU=0.4729 minWGsign=0.5000 minWGstrong=0.2202 topK=0.3465 rel=5.51x CV=0.6779 signStable=0.938
|
| 65 |
+
feature= 2071 score=0.470175 nearLayers=0.000 meanU=0.5221 minWGsign=0.5000 minWGstrong=0.1650 topK=0.3621 rel=8.18x CV=0.6114 signStable=0.812
|
| 66 |
+
feature= 722 score=0.469251 nearLayers=0.000 meanU=0.5690 minWGsign=0.5000 minWGstrong=0.0086 topK=0.2478 rel=8.60x CV=0.3303 signStable=0.938
|
| 67 |
+
feature= 2981 score=0.468868 nearLayers=0.000 meanU=0.5298 minWGsign=0.5000 minWGstrong=0.0373 topK=0.3819 rel=8.89x CV=0.7238 signStable=0.938
|
| 68 |
+
feature= 2803 score=0.468611 nearLayers=0.000 meanU=0.5184 minWGsign=0.5000 minWGstrong=0.0746 topK=0.3027 rel=8.06x CV=0.7190 signStable=1.000
|
| 69 |
+
feature= 3351 score=0.468315 nearLayers=0.000 meanU=0.5054 minWGsign=0.5010 minWGstrong=0.1370 topK=0.2328 rel=6.32x CV=0.4955 signStable=1.000
|
| 70 |
+
feature= 685 score=0.467619 nearLayers=0.000 meanU=0.5429 minWGsign=0.5000 minWGstrong=0.0299 topK=0.3410 rel=9.90x CV=0.4625 signStable=0.875
|
| 71 |
+
feature= 383 score=0.466857 nearLayers=0.094 meanU=0.5550 minWGsign=0.5000 minWGstrong=0.0237 topK=0.1941 rel=7.64x CV=0.3571 signStable=0.875
|
| 72 |
+
feature= 2297 score=0.466824 nearLayers=0.000 meanU=0.5756 minWGsign=0.5007 minWGstrong=0.0029 topK=0.3424 rel=10.88x CV=0.4078 signStable=0.812
|
| 73 |
+
feature= 220 score=0.466772 nearLayers=0.031 meanU=0.5488 minWGsign=0.5000 minWGstrong=0.0244 topK=0.3824 rel=10.99x CV=0.4386 signStable=0.750
|
| 74 |
+
feature= 3586 score=0.465633 nearLayers=0.062 meanU=0.5594 minWGsign=0.5000 minWGstrong=0.0574 topK=0.2258 rel=7.37x CV=0.2446 signStable=0.750
|
| 75 |
+
feature= 353 score=0.463696 nearLayers=0.000 meanU=0.5033 minWGsign=0.5000 minWGstrong=0.1334 topK=0.2131 rel=7.64x CV=0.4699 signStable=0.938
|
| 76 |
+
feature= 3330 score=0.463591 nearLayers=0.000 meanU=0.5319 minWGsign=0.5000 minWGstrong=0.1541 topK=0.3367 rel=8.37x CV=0.5368 signStable=0.750
|
| 77 |
+
feature= 3092 score=0.463244 nearLayers=0.000 meanU=0.5303 minWGsign=0.5222 minWGstrong=0.0212 topK=0.1963 rel=6.30x CV=0.3347 signStable=1.000
|
| 78 |
+
feature= 207 score=0.461729 nearLayers=0.000 meanU=0.5736 minWGsign=0.5000 minWGstrong=0.2647 topK=0.5175 rel=9.95x CV=0.5297 signStable=0.312
|
| 79 |
+
feature= 2083 score=0.461662 nearLayers=0.000 meanU=0.5317 minWGsign=0.5014 minWGstrong=0.0046 topK=0.2632 rel=7.05x CV=0.3267 signStable=0.938
|
| 80 |
+
feature= 3289 score=0.460164 nearLayers=0.000 meanU=0.5181 minWGsign=0.5007 minWGstrong=0.0244 topK=0.2259 rel=6.60x CV=0.3846 signStable=1.000
|
| 81 |
+
feature= 1858 score=0.459642 nearLayers=0.000 meanU=0.5474 minWGsign=0.5000 minWGstrong=0.0070 topK=0.2569 rel=9.94x CV=0.3997 signStable=0.875
|
| 82 |
+
feature= 2207 score=0.458280 nearLayers=0.000 meanU=0.5290 minWGsign=0.5007 minWGstrong=0.0167 topK=0.2161 rel=8.55x CV=0.3867 signStable=0.938
|
| 83 |
+
feature= 3573 score=0.457757 nearLayers=0.000 meanU=0.5623 minWGsign=0.5012 minWGstrong=0.0363 topK=0.1487 rel=8.85x CV=0.4230 signStable=0.938
|
| 84 |
+
feature= 19 score=0.456501 nearLayers=0.000 meanU=0.5349 minWGsign=0.5014 minWGstrong=0.0078 topK=0.1744 rel=8.66x CV=0.3443 signStable=0.938
|
| 85 |
+
feature= 434 score=0.455732 nearLayers=0.000 meanU=0.4962 minWGsign=0.5008 minWGstrong=0.0076 topK=0.1955 rel=8.27x CV=0.3932 signStable=1.000
|
| 86 |
+
feature= 3889 score=0.455715 nearLayers=0.000 meanU=0.4952 minWGsign=0.5007 minWGstrong=0.0894 topK=0.2022 rel=6.19x CV=0.3824 signStable=0.938
|
| 87 |
+
feature= 1918 score=0.453817 nearLayers=0.000 meanU=0.5066 minWGsign=0.5000 minWGstrong=0.0234 topK=0.2528 rel=8.84x CV=0.5615 signStable=0.938
|
| 88 |
+
feature= 2154 score=0.453715 nearLayers=0.031 meanU=0.5000 minWGsign=0.5007 minWGstrong=0.0051 topK=0.2116 rel=7.51x CV=0.3951 signStable=0.938
|
| 89 |
+
feature= 1890 score=0.452917 nearLayers=0.000 meanU=0.5378 minWGsign=0.5000 minWGstrong=0.0234 topK=0.1571 rel=7.54x CV=0.3689 signStable=0.938
|
| 90 |
+
feature= 1599 score=0.451690 nearLayers=0.000 meanU=0.4772 minWGsign=0.5000 minWGstrong=0.1655 topK=0.3405 rel=4.43x CV=0.5567 signStable=0.812
|
| 91 |
+
feature= 3858 score=0.450861 nearLayers=0.000 meanU=0.4575 minWGsign=0.5000 minWGstrong=0.1094 topK=0.2391 rel=4.37x CV=0.5267 signStable=1.000
|
| 92 |
+
feature= 2377 score=0.450215 nearLayers=0.000 meanU=0.5154 minWGsign=0.5021 minWGstrong=0.0167 topK=0.1652 rel=6.98x CV=0.3402 signStable=0.938
|
| 93 |
+
feature= 2514 score=0.450211 nearLayers=0.000 meanU=0.5324 minWGsign=0.5014 minWGstrong=0.0058 topK=0.1470 rel=7.67x CV=0.3542 signStable=0.938
|
| 94 |
+
feature= 463 score=0.450161 nearLayers=0.000 meanU=0.4306 minWGsign=0.5000 minWGstrong=0.1420 topK=0.1798 rel=5.04x CV=0.4607 signStable=1.000
|
| 95 |
+
feature= 3274 score=0.449185 nearLayers=0.000 meanU=0.4718 minWGsign=0.5000 minWGstrong=0.1774 topK=0.2016 rel=4.92x CV=0.4760 signStable=0.875
|
| 96 |
+
feature= 3203 score=0.447960 nearLayers=0.000 meanU=0.4801 minWGsign=0.5007 minWGstrong=0.0488 topK=0.1567 rel=6.78x CV=0.4678 signStable=1.000
|
| 97 |
+
feature= 2555 score=0.447030 nearLayers=0.000 meanU=0.5425 minWGsign=0.5014 minWGstrong=0.0589 topK=0.1928 rel=8.00x CV=0.4435 signStable=0.812
|
| 98 |
+
feature= 2504 score=0.446787 nearLayers=0.000 meanU=0.4794 minWGsign=0.5000 minWGstrong=0.0559 topK=0.2642 rel=5.50x CV=0.5476 signStable=0.938
|
| 99 |
+
feature= 3401 score=0.446507 nearLayers=0.000 meanU=0.4825 minWGsign=0.5000 minWGstrong=0.0124 topK=0.1164 rel=6.54x CV=0.3157 signStable=1.000
|
| 100 |
+
feature= 2943 score=0.441196 nearLayers=0.000 meanU=0.4459 minWGsign=0.5000 minWGstrong=0.1180 topK=0.2464 rel=3.30x CV=0.4892 signStable=0.938
|
| 101 |
+
feature= 2428 score=0.440897 nearLayers=0.000 meanU=0.4398 minWGsign=0.5000 minWGstrong=0.1370 topK=0.1888 rel=4.36x CV=0.5177 signStable=0.938
|
| 102 |
+
feature= 604 score=0.439595 nearLayers=0.000 meanU=0.4473 minWGsign=0.5000 minWGstrong=0.0890 topK=0.1585 rel=4.66x CV=0.5353 signStable=1.000
|
| 103 |
+
feature= 783 score=0.438500 nearLayers=0.000 meanU=0.4298 minWGsign=0.5000 minWGstrong=0.0779 topK=0.0868 rel=5.17x CV=0.3443 signStable=1.000
|
| 104 |
+
feature= 957 score=0.437824 nearLayers=0.000 meanU=0.4749 minWGsign=0.5000 minWGstrong=0.1022 topK=0.2736 rel=4.38x CV=0.5026 signStable=0.812
|
| 105 |
+
feature= 1837 score=0.437363 nearLayers=0.000 meanU=0.4964 minWGsign=0.5007 minWGstrong=0.0517 topK=0.1863 rel=6.20x CV=0.3737 signStable=0.812
|
| 106 |
+
feature= 3014 score=0.436076 nearLayers=0.000 meanU=0.5056 minWGsign=0.5000 minWGstrong=0.0215 topK=0.2268 rel=8.10x CV=0.4019 signStable=0.750
|
| 107 |
+
feature= 1567 score=0.435168 nearLayers=0.000 meanU=0.4591 minWGsign=0.5000 minWGstrong=0.1234 topK=0.1871 rel=4.94x CV=0.4170 signStable=0.812
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/layer_features.csv
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d07dcfff35f473f6791bba8d45b2138fc0b05a501c990b17eac2a7cae8cb0ea
|
| 3 |
+
size 32560076
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/persistent_channels.csv
ADDED
|
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See raw diff
|
|
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/runtime.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "Qwen/Qwen3.5-9B",
|
| 3 |
+
"loader": "AutoModelForMultimodalLM",
|
| 4 |
+
"stack": "model.language_model.layers",
|
| 5 |
+
"n_layers": 32,
|
| 6 |
+
"hidden_size": 4096,
|
| 7 |
+
"target_sequences": 50000,
|
| 8 |
+
"batch_size": 16,
|
| 9 |
+
"max_input_tokens": 128,
|
| 10 |
+
"prompt_pipeline": "original_qwen35_2b_v1",
|
| 11 |
+
"sources": [
|
| 12 |
+
"ultrachat",
|
| 13 |
+
"fineweb_edu",
|
| 14 |
+
"openwebmath",
|
| 15 |
+
"cosmopedia_v2"
|
| 16 |
+
],
|
| 17 |
+
"formats": [
|
| 18 |
+
"raw",
|
| 19 |
+
"qa_short",
|
| 20 |
+
"user_assistant",
|
| 21 |
+
"hash_sections",
|
| 22 |
+
"xml_document",
|
| 23 |
+
"key_point",
|
| 24 |
+
"continue",
|
| 25 |
+
"next_sentence",
|
| 26 |
+
"context_answer",
|
| 27 |
+
"brackets",
|
| 28 |
+
"reader_reply",
|
| 29 |
+
"plain_instruction",
|
| 30 |
+
"title",
|
| 31 |
+
"summary",
|
| 32 |
+
"minimal",
|
| 33 |
+
"note",
|
| 34 |
+
"completion",
|
| 35 |
+
"quoted",
|
| 36 |
+
"dash",
|
| 37 |
+
"task_block"
|
| 38 |
+
],
|
| 39 |
+
"grouping": "source::format",
|
| 40 |
+
"reference_prompt_tokenizer": "Qwen/Qwen3.5-2B",
|
| 41 |
+
"seed": 3407,
|
| 42 |
+
"min_input_tokens": 48,
|
| 43 |
+
"top_fraction": 0.015625,
|
| 44 |
+
"strong_multiplier": 3.0
|
| 45 |
+
}
|