Add 50K persistent-channel scan for Qwen/Qwen3.5-4B
Browse files- .gitattributes +1 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/COMPLETE.json +461 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/TOP.txt +107 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/layer_features.csv +3 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/persistent_channels.csv +0 -0
- analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/runtime.json +45 -0
.gitattributes
CHANGED
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@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.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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analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/COMPLETE.json
ADDED
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@@ -0,0 +1,461 @@
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|
| 1 |
+
{
|
| 2 |
+
"model": "Qwen/Qwen3.5-4B",
|
| 3 |
+
"complete": true,
|
| 4 |
+
"prompt_pipeline": "original_qwen35_2b_v1",
|
| 5 |
+
"sequences": 50000,
|
| 6 |
+
"n_layers": 32,
|
| 7 |
+
"hidden_size": 2560,
|
| 8 |
+
"top_channels": [
|
| 9 |
+
{
|
| 10 |
+
"model": "Qwen/Qwen3.5-4B",
|
| 11 |
+
"feature_index": 0,
|
| 12 |
+
"persistent_channel_score": 0.8942107762910956,
|
| 13 |
+
"layer_count": 32,
|
| 14 |
+
"layer_coverage": 1.0,
|
| 15 |
+
"near_universal_layer_fraction": 0.96875,
|
| 16 |
+
"mean_universal_score": 0.9734704806579167,
|
| 17 |
+
"min_universal_score": 0.7971966342407768,
|
| 18 |
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"min_worst_group_sign_consistency": 0.8361581920903954,
|
| 19 |
+
"min_worst_group_strong_coverage": 0.5645604395604396,
|
| 20 |
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"mean_topk_coverage": 0.99459,
|
| 21 |
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"median_relative_strength": 264.5687047574181,
|
| 22 |
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"median_magnitude_cv": 0.09673759899649652,
|
| 23 |
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"cross_layer_sign_stability": 1.0,
|
| 24 |
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"mean_activation_across_layers": 7.315066523906319,
|
| 25 |
+
"max_abs_mean_activation": 20.642487969894407
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"model": "Qwen/Qwen3.5-4B",
|
| 29 |
+
"feature_index": 16,
|
| 30 |
+
"persistent_channel_score": 0.7857385557596135,
|
| 31 |
+
"layer_count": 32,
|
| 32 |
+
"layer_coverage": 1.0,
|
| 33 |
+
"near_universal_layer_fraction": 0.96875,
|
| 34 |
+
"mean_universal_score": 0.957755329796077,
|
| 35 |
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"min_universal_score": 0.45713134277691053,
|
| 36 |
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"min_worst_group_sign_consistency": 0.522875816993464,
|
| 37 |
+
"min_worst_group_strong_coverage": 0.11129568106312292,
|
| 38 |
+
"mean_topk_coverage": 0.9750231249999999,
|
| 39 |
+
"median_relative_strength": 93.73083051351013,
|
| 40 |
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"median_magnitude_cv": 0.1271292785730205,
|
| 41 |
+
"cross_layer_sign_stability": 1.0,
|
| 42 |
+
"mean_activation_across_layers": -2.1728522837066135,
|
| 43 |
+
"max_abs_mean_activation": 5.975730876736641
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"model": "Qwen/Qwen3.5-4B",
|
| 47 |
+
"feature_index": 10,
|
| 48 |
+
"persistent_channel_score": 0.7136585619703972,
|
| 49 |
+
"layer_count": 32,
|
| 50 |
+
"layer_coverage": 1.0,
|
| 51 |
+
"near_universal_layer_fraction": 0.8125,
|
| 52 |
+
"mean_universal_score": 0.8791880989760793,
|
| 53 |
+
"min_universal_score": 0.37954499227134303,
|
| 54 |
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"min_worst_group_sign_consistency": 0.5007194244604316,
|
| 55 |
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"min_worst_group_strong_coverage": 0.08695652173913043,
|
| 56 |
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"mean_topk_coverage": 0.836030625,
|
| 57 |
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"median_relative_strength": 28.7762024731024,
|
| 58 |
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"median_magnitude_cv": 0.31792476529421443,
|
| 59 |
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"cross_layer_sign_stability": 1.0,
|
| 60 |
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"mean_activation_across_layers": -1.1907913419012872,
|
| 61 |
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"max_abs_mean_activation": 3.893776305355523
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"model": "Qwen/Qwen3.5-4B",
|
| 65 |
+
"feature_index": 32,
|
| 66 |
+
"persistent_channel_score": 0.7041648822514832,
|
| 67 |
+
"layer_count": 32,
|
| 68 |
+
"layer_coverage": 1.0,
|
| 69 |
+
"near_universal_layer_fraction": 0.75,
|
| 70 |
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"mean_universal_score": 0.9001981168917828,
|
| 71 |
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"min_universal_score": 0.30942182605835544,
|
| 72 |
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"min_worst_group_sign_consistency": 0.5,
|
| 73 |
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"min_worst_group_strong_coverage": 0.02226027397260274,
|
| 74 |
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"mean_topk_coverage": 0.9079075000000001,
|
| 75 |
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"median_relative_strength": 59.18037467626362,
|
| 76 |
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"median_magnitude_cv": 0.26602179626214834,
|
| 77 |
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"cross_layer_sign_stability": 0.9375,
|
| 78 |
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"mean_activation_across_layers": -1.0629335240255118,
|
| 79 |
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"max_abs_mean_activation": 1.5892641875356528
|
| 80 |
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},
|
| 81 |
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{
|
| 82 |
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"model": "Qwen/Qwen3.5-4B",
|
| 83 |
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"feature_index": 8,
|
| 84 |
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"persistent_channel_score": 0.675064363286203,
|
| 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": 0.65625,
|
| 88 |
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"mean_universal_score": 0.847030604050034,
|
| 89 |
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"min_universal_score": 0.36383797991998845,
|
| 90 |
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"min_worst_group_sign_consistency": 0.5007194244604316,
|
| 91 |
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"min_worst_group_strong_coverage": 0.0027624309392265192,
|
| 92 |
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"mean_topk_coverage": 0.8291825,
|
| 93 |
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"median_relative_strength": 26.6452703439316,
|
| 94 |
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"median_magnitude_cv": 0.24538306927167217,
|
| 95 |
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"cross_layer_sign_stability": 0.9375,
|
| 96 |
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"mean_activation_across_layers": 0.7645030258278991,
|
| 97 |
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"max_abs_mean_activation": 1.9783462838831916
|
| 98 |
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},
|
| 99 |
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{
|
| 100 |
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"model": "Qwen/Qwen3.5-4B",
|
| 101 |
+
"feature_index": 47,
|
| 102 |
+
"persistent_channel_score": 0.6211303066811547,
|
| 103 |
+
"layer_count": 32,
|
| 104 |
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"layer_coverage": 1.0,
|
| 105 |
+
"near_universal_layer_fraction": 0.625,
|
| 106 |
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"mean_universal_score": 0.8260533226313955,
|
| 107 |
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"min_universal_score": 0.4485908503660604,
|
| 108 |
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"min_worst_group_sign_consistency": 0.5006877579092159,
|
| 109 |
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"min_worst_group_strong_coverage": 0.027576197387518143,
|
| 110 |
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"mean_topk_coverage": 0.7900337500000001,
|
| 111 |
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"median_relative_strength": 29.281913630780366,
|
| 112 |
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"median_magnitude_cv": 0.27086747482633405,
|
| 113 |
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"cross_layer_sign_stability": 0.5,
|
| 114 |
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"mean_activation_across_layers": -0.7639333419361661,
|
| 115 |
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"max_abs_mean_activation": 1.960960846501119
|
| 116 |
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},
|
| 117 |
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{
|
| 118 |
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"model": "Qwen/Qwen3.5-4B",
|
| 119 |
+
"feature_index": 17,
|
| 120 |
+
"persistent_channel_score": 0.5881530378437925,
|
| 121 |
+
"layer_count": 32,
|
| 122 |
+
"layer_coverage": 1.0,
|
| 123 |
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"near_universal_layer_fraction": 0.25,
|
| 124 |
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"mean_universal_score": 0.7219346761462939,
|
| 125 |
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"min_universal_score": 0.2594788320906894,
|
| 126 |
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"min_worst_group_sign_consistency": 0.5007256894049347,
|
| 127 |
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"min_worst_group_strong_coverage": 0.1415525114155251,
|
| 128 |
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"mean_topk_coverage": 0.645508125,
|
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"min_universal_score": 0.3548290424382355,
|
| 432 |
+
"min_worst_group_sign_consistency": 0.502212389380531,
|
| 433 |
+
"min_worst_group_strong_coverage": 0.030656934306569343,
|
| 434 |
+
"mean_topk_coverage": 0.408460625,
|
| 435 |
+
"median_relative_strength": 13.230059366397198,
|
| 436 |
+
"median_magnitude_cv": 0.43132625929211166,
|
| 437 |
+
"cross_layer_sign_stability": 1.0,
|
| 438 |
+
"mean_activation_across_layers": 0.3529042206432601,
|
| 439 |
+
"max_abs_mean_activation": 0.8476816893200276
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"model": "Qwen/Qwen3.5-4B",
|
| 443 |
+
"feature_index": 3,
|
| 444 |
+
"persistent_channel_score": 0.5074097170343743,
|
| 445 |
+
"layer_count": 32,
|
| 446 |
+
"layer_coverage": 1.0,
|
| 447 |
+
"near_universal_layer_fraction": 0.0,
|
| 448 |
+
"mean_universal_score": 0.6764761741110331,
|
| 449 |
+
"min_universal_score": 0.3364529073517992,
|
| 450 |
+
"min_worst_group_sign_consistency": 0.501466275659824,
|
| 451 |
+
"min_worst_group_strong_coverage": 0.13055954088952654,
|
| 452 |
+
"mean_topk_coverage": 0.545218125,
|
| 453 |
+
"median_relative_strength": 25.79578186218189,
|
| 454 |
+
"median_magnitude_cv": 1.0191546480555085,
|
| 455 |
+
"cross_layer_sign_stability": 0.75,
|
| 456 |
+
"mean_activation_across_layers": 0.6894384949212259,
|
| 457 |
+
"max_abs_mean_activation": 2.2488470126484352
|
| 458 |
+
}
|
| 459 |
+
],
|
| 460 |
+
"finished_at": "2026-10-20T11:32:24"
|
| 461 |
+
}
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/TOP.txt
ADDED
|
@@ -0,0 +1,107 @@
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|
|
|
| 1 |
+
MODEL: Qwen/Qwen3.5-4B
|
| 2 |
+
SEQUENCES: 50,000
|
| 3 |
+
LAYERS: 32
|
| 4 |
+
HIDDEN SIZE: 2560
|
| 5 |
+
|
| 6 |
+
TOP PERSISTENT CHANNELS
|
| 7 |
+
========================================================================================================================
|
| 8 |
+
feature= 0 score=0.894211 nearLayers=0.969 meanU=0.9735 minWGsign=0.8362 minWGstrong=0.5646 topK=0.9946 rel=264.57x CV=0.0967 signStable=1.000
|
| 9 |
+
feature= 16 score=0.785739 nearLayers=0.969 meanU=0.9578 minWGsign=0.5229 minWGstrong=0.1113 topK=0.9750 rel=93.73x CV=0.1271 signStable=1.000
|
| 10 |
+
feature= 10 score=0.713659 nearLayers=0.812 meanU=0.8792 minWGsign=0.5007 minWGstrong=0.0870 topK=0.8360 rel=28.78x CV=0.3179 signStable=1.000
|
| 11 |
+
feature= 32 score=0.704165 nearLayers=0.750 meanU=0.9002 minWGsign=0.5000 minWGstrong=0.0223 topK=0.9079 rel=59.18x CV=0.2660 signStable=0.938
|
| 12 |
+
feature= 8 score=0.675064 nearLayers=0.656 meanU=0.8470 minWGsign=0.5007 minWGstrong=0.0028 topK=0.8292 rel=26.65x CV=0.2454 signStable=0.938
|
| 13 |
+
feature= 47 score=0.621130 nearLayers=0.625 meanU=0.8261 minWGsign=0.5007 minWGstrong=0.0276 topK=0.7900 rel=29.28x CV=0.2709 signStable=0.500
|
| 14 |
+
feature= 17 score=0.588153 nearLayers=0.250 meanU=0.7219 minWGsign=0.5007 minWGstrong=0.1416 topK=0.6455 rel=25.93x CV=0.6748 signStable=1.000
|
| 15 |
+
feature= 4 score=0.584180 nearLayers=0.188 meanU=0.7799 minWGsign=0.5056 minWGstrong=0.0248 topK=0.7077 rel=23.47x CV=0.3422 signStable=0.938
|
| 16 |
+
feature= 11 score=0.572486 nearLayers=0.000 meanU=0.6817 minWGsign=0.5095 minWGstrong=0.4043 topK=0.5293 rel=13.98x CV=0.5468 signStable=1.000
|
| 17 |
+
feature= 52 score=0.560730 nearLayers=0.312 meanU=0.6820 minWGsign=0.5000 minWGstrong=0.0473 topK=0.4042 rel=12.50x CV=0.2765 signStable=0.938
|
| 18 |
+
feature= 118 score=0.557855 nearLayers=0.375 meanU=0.6822 minWGsign=0.5007 minWGstrong=0.0483 topK=0.3842 rel=11.50x CV=0.2275 signStable=0.812
|
| 19 |
+
feature= 44 score=0.556082 nearLayers=0.000 meanU=0.7040 minWGsign=0.5007 minWGstrong=0.1935 topK=0.6821 rel=27.36x CV=0.6066 signStable=0.938
|
| 20 |
+
feature= 261 score=0.552675 nearLayers=0.406 meanU=0.6842 minWGsign=0.5007 minWGstrong=0.0124 topK=0.4187 rel=7.98x CV=0.3235 signStable=0.875
|
| 21 |
+
feature= 31 score=0.552615 nearLayers=0.406 meanU=0.6650 minWGsign=0.5010 minWGstrong=0.0409 topK=0.4044 rel=7.38x CV=0.2979 signStable=0.875
|
| 22 |
+
feature= 54 score=0.544317 nearLayers=0.094 meanU=0.6989 minWGsign=0.5007 minWGstrong=0.0432 topK=0.5021 rel=15.12x CV=0.3937 signStable=1.000
|
| 23 |
+
feature= 18 score=0.533449 nearLayers=0.031 meanU=0.6873 minWGsign=0.5007 minWGstrong=0.0057 topK=0.6375 rel=24.93x CV=0.7278 signStable=1.000
|
| 24 |
+
feature= 29 score=0.533144 nearLayers=0.000 meanU=0.6525 minWGsign=0.5007 minWGstrong=0.1291 topK=0.5367 rel=14.02x CV=0.5155 signStable=1.000
|
| 25 |
+
feature= 2 score=0.531770 nearLayers=0.062 meanU=0.6621 minWGsign=0.5000 minWGstrong=0.1842 topK=0.5080 rel=16.63x CV=0.7420 signStable=0.875
|
| 26 |
+
feature= 1 score=0.527981 nearLayers=0.406 meanU=0.6118 minWGsign=0.5000 minWGstrong=0.0033 topK=0.4130 rel=7.14x CV=0.2963 signStable=0.750
|
| 27 |
+
feature= 20 score=0.527729 nearLayers=0.000 meanU=0.6685 minWGsign=0.5007 minWGstrong=0.1135 topK=0.5528 rel=22.13x CV=0.6083 signStable=0.938
|
| 28 |
+
feature= 22 score=0.519712 nearLayers=0.000 meanU=0.6792 minWGsign=0.5013 minWGstrong=0.0000 topK=0.4603 rel=14.96x CV=0.2781 signStable=0.938
|
| 29 |
+
feature= 136 score=0.512804 nearLayers=0.125 meanU=0.6588 minWGsign=0.5017 minWGstrong=0.0000 topK=0.2919 rel=11.18x CV=0.3540 signStable=1.000
|
| 30 |
+
feature= 26 score=0.511122 nearLayers=0.000 meanU=0.6518 minWGsign=0.5033 minWGstrong=0.0187 topK=0.5211 rel=13.81x CV=0.5091 signStable=0.938
|
| 31 |
+
feature= 51 score=0.510033 nearLayers=0.000 meanU=0.6555 minWGsign=0.5022 minWGstrong=0.0307 topK=0.4085 rel=13.23x CV=0.4313 signStable=1.000
|
| 32 |
+
feature= 3 score=0.507410 nearLayers=0.000 meanU=0.6765 minWGsign=0.5015 minWGstrong=0.1306 topK=0.5452 rel=25.80x CV=1.0192 signStable=0.750
|
| 33 |
+
feature= 76 score=0.500168 nearLayers=0.000 meanU=0.6650 minWGsign=0.5014 minWGstrong=0.0359 topK=0.3398 rel=11.78x CV=0.3575 signStable=0.938
|
| 34 |
+
feature= 186 score=0.499335 nearLayers=0.250 meanU=0.5554 minWGsign=0.5007 minWGstrong=0.0129 topK=0.2703 rel=4.45x CV=0.3291 signStable=1.000
|
| 35 |
+
feature= 56 score=0.496142 nearLayers=0.344 meanU=0.6108 minWGsign=0.5000 minWGstrong=0.0000 topK=0.2704 rel=7.09x CV=0.3233 signStable=0.688
|
| 36 |
+
feature= 33 score=0.482053 nearLayers=0.000 meanU=0.5862 minWGsign=0.5021 minWGstrong=0.1218 topK=0.3005 rel=7.82x CV=0.5046 signStable=0.938
|
| 37 |
+
feature= 40 score=0.480882 nearLayers=0.000 meanU=0.6105 minWGsign=0.5000 minWGstrong=0.1724 topK=0.4258 rel=10.59x CV=0.4508 signStable=0.625
|
| 38 |
+
feature= 19 score=0.479831 nearLayers=0.000 meanU=0.5258 minWGsign=0.5000 minWGstrong=0.3343 topK=0.3438 rel=6.28x CV=0.6011 signStable=0.750
|
| 39 |
+
feature= 50 score=0.479703 nearLayers=0.375 meanU=0.5674 minWGsign=0.5000 minWGstrong=0.0000 topK=0.3760 rel=3.91x CV=0.3554 signStable=0.562
|
| 40 |
+
feature= 91 score=0.473745 nearLayers=0.031 meanU=0.5372 minWGsign=0.5014 minWGstrong=0.1062 topK=0.1898 rel=6.60x CV=0.3956 signStable=1.000
|
| 41 |
+
feature= 36 score=0.470664 nearLayers=0.031 meanU=0.5549 minWGsign=0.5000 minWGstrong=0.0082 topK=0.2885 rel=5.77x CV=0.3963 signStable=1.000
|
| 42 |
+
feature= 533 score=0.470426 nearLayers=0.125 meanU=0.5649 minWGsign=0.5000 minWGstrong=0.0015 topK=0.1204 rel=7.10x CV=0.3067 signStable=0.938
|
| 43 |
+
feature= 27 score=0.469167 nearLayers=0.000 meanU=0.5303 minWGsign=0.5000 minWGstrong=0.0783 topK=0.3983 rel=7.87x CV=0.6123 signStable=0.875
|
| 44 |
+
feature= 30 score=0.468571 nearLayers=0.000 meanU=0.5490 minWGsign=0.5000 minWGstrong=0.0559 topK=0.2992 rel=7.33x CV=0.4506 signStable=0.938
|
| 45 |
+
feature= 85 score=0.468045 nearLayers=0.000 meanU=0.5361 minWGsign=0.5007 minWGstrong=0.1336 topK=0.2491 rel=6.83x CV=0.5252 signStable=0.938
|
| 46 |
+
feature= 57 score=0.464918 nearLayers=0.031 meanU=0.5854 minWGsign=0.5000 minWGstrong=0.0305 topK=0.2551 rel=10.74x CV=0.3333 signStable=0.750
|
| 47 |
+
feature= 108 score=0.464789 nearLayers=0.000 meanU=0.5478 minWGsign=0.5027 minWGstrong=0.0785 topK=0.1750 rel=7.03x CV=0.4493 signStable=1.000
|
| 48 |
+
feature= 94 score=0.462622 nearLayers=0.000 meanU=0.5532 minWGsign=0.5000 minWGstrong=0.0194 topK=0.1932 rel=7.71x CV=0.4132 signStable=1.000
|
| 49 |
+
feature= 62 score=0.461318 nearLayers=0.000 meanU=0.4713 minWGsign=0.5000 minWGstrong=0.1568 topK=0.2953 rel=4.35x CV=0.6709 signStable=1.000
|
| 50 |
+
feature= 490 score=0.461070 nearLayers=0.125 meanU=0.5306 minWGsign=0.5007 minWGstrong=0.0000 topK=0.2059 rel=4.41x CV=0.2803 signStable=0.875
|
| 51 |
+
feature= 115 score=0.459311 nearLayers=0.000 meanU=0.5596 minWGsign=0.5036 minWGstrong=0.0058 topK=0.0917 rel=7.40x CV=0.2807 signStable=1.000
|
| 52 |
+
feature= 86 score=0.458437 nearLayers=0.000 meanU=0.4995 minWGsign=0.5028 minWGstrong=0.0833 topK=0.1927 rel=7.34x CV=0.5322 signStable=1.000
|
| 53 |
+
feature= 64 score=0.457573 nearLayers=0.031 meanU=0.5133 minWGsign=0.5000 minWGstrong=0.0689 topK=0.2411 rel=6.64x CV=0.5963 signStable=0.938
|
| 54 |
+
feature= 120 score=0.457197 nearLayers=0.031 meanU=0.5585 minWGsign=0.5014 minWGstrong=0.0085 topK=0.1207 rel=7.36x CV=0.3218 signStable=0.938
|
| 55 |
+
feature= 217 score=0.455946 nearLayers=0.000 meanU=0.5449 minWGsign=0.5072 minWGstrong=0.0117 topK=0.1309 rel=7.33x CV=0.3776 signStable=1.000
|
| 56 |
+
feature= 122 score=0.453109 nearLayers=0.000 meanU=0.5222 minWGsign=0.5007 minWGstrong=0.0373 topK=0.1503 rel=7.20x CV=0.4610 signStable=1.000
|
| 57 |
+
feature= 131 score=0.452169 nearLayers=0.000 meanU=0.5165 minWGsign=0.5021 minWGstrong=0.0110 topK=0.1506 rel=7.54x CV=0.4090 signStable=1.000
|
| 58 |
+
feature= 142 score=0.449912 nearLayers=0.062 meanU=0.5758 minWGsign=0.5000 minWGstrong=0.0000 topK=0.4182 rel=10.74x CV=0.4376 signStable=0.500
|
| 59 |
+
feature= 38 score=0.448661 nearLayers=0.094 meanU=0.5727 minWGsign=0.5007 minWGstrong=0.0015 topK=0.1059 rel=5.95x CV=0.3266 signStable=0.812
|
| 60 |
+
feature= 9 score=0.447833 nearLayers=0.062 meanU=0.5670 minWGsign=0.5000 minWGstrong=0.0057 topK=0.2767 rel=7.68x CV=0.2369 signStable=0.562
|
| 61 |
+
feature= 46 score=0.446576 nearLayers=0.000 meanU=0.4625 minWGsign=0.5007 minWGstrong=0.0698 topK=0.1891 rel=5.70x CV=0.5168 signStable=1.000
|
| 62 |
+
feature= 70 score=0.442886 nearLayers=0.000 meanU=0.5023 minWGsign=0.5007 minWGstrong=0.0410 topK=0.2151 rel=7.88x CV=0.3998 signStable=0.812
|
| 63 |
+
feature= 209 score=0.442155 nearLayers=0.000 meanU=0.4970 minWGsign=0.5017 minWGstrong=0.0000 topK=0.1018 rel=6.75x CV=0.3852 signStable=1.000
|
| 64 |
+
feature= 134 score=0.441983 nearLayers=0.000 meanU=0.4946 minWGsign=0.5011 minWGstrong=0.0299 topK=0.1352 rel=6.25x CV=0.5259 signStable=1.000
|
| 65 |
+
feature= 73 score=0.441857 nearLayers=0.062 meanU=0.5045 minWGsign=0.5008 minWGstrong=0.0017 topK=0.1417 rel=4.17x CV=0.3695 signStable=0.938
|
| 66 |
+
feature= 109 score=0.441454 nearLayers=0.000 meanU=0.5132 minWGsign=0.5000 minWGstrong=0.0082 topK=0.1521 rel=6.91x CV=0.4524 signStable=0.938
|
| 67 |
+
feature= 123 score=0.441026 nearLayers=0.000 meanU=0.4726 minWGsign=0.5000 minWGstrong=0.0117 topK=0.1964 rel=5.68x CV=0.5156 signStable=1.000
|
| 68 |
+
feature= 97 score=0.437890 nearLayers=0.000 meanU=0.5130 minWGsign=0.5015 minWGstrong=0.0143 topK=0.1568 rel=7.46x CV=0.4579 signStable=0.875
|
| 69 |
+
feature= 23 score=0.437597 nearLayers=0.000 meanU=0.4883 minWGsign=0.5000 minWGstrong=0.0413 topK=0.2541 rel=5.08x CV=0.5404 signStable=0.875
|
| 70 |
+
feature= 58 score=0.437103 nearLayers=0.000 meanU=0.4683 minWGsign=0.5000 minWGstrong=0.0330 topK=0.2774 rel=4.10x CV=0.5963 signStable=0.938
|
| 71 |
+
feature= 146 score=0.436812 nearLayers=0.000 meanU=0.4746 minWGsign=0.5000 minWGstrong=0.0934 topK=0.0654 rel=5.46x CV=0.3907 signStable=0.938
|
| 72 |
+
feature= 12 score=0.436780 nearLayers=0.000 meanU=0.4946 minWGsign=0.5000 minWGstrong=0.0670 topK=0.3390 rel=4.94x CV=0.5600 signStable=0.750
|
| 73 |
+
feature= 311 score=0.435547 nearLayers=0.000 meanU=0.4728 minWGsign=0.5124 minWGstrong=0.0000 topK=0.0668 rel=4.47x CV=0.2133 signStable=0.938
|
| 74 |
+
feature= 125 score=0.434834 nearLayers=0.000 meanU=0.4750 minWGsign=0.5000 minWGstrong=0.0231 topK=0.0808 rel=5.90x CV=0.4368 signStable=1.000
|
| 75 |
+
feature= 83 score=0.434116 nearLayers=0.000 meanU=0.4600 minWGsign=0.5000 minWGstrong=0.1223 topK=0.1753 rel=4.86x CV=0.5956 signStable=0.875
|
| 76 |
+
feature= 266 score=0.432741 nearLayers=0.000 meanU=0.4954 minWGsign=0.5000 minWGstrong=0.0014 topK=0.0229 rel=6.43x CV=0.2906 signStable=0.938
|
| 77 |
+
feature= 147 score=0.432080 nearLayers=0.000 meanU=0.4713 minWGsign=0.5000 minWGstrong=0.0205 topK=0.0923 rel=4.44x CV=0.3916 signStable=1.000
|
| 78 |
+
feature= 96 score=0.429925 nearLayers=0.000 meanU=0.4445 minWGsign=0.5000 minWGstrong=0.0112 topK=0.0996 rel=5.22x CV=0.4087 signStable=1.000
|
| 79 |
+
feature= 129 score=0.429773 nearLayers=0.000 meanU=0.4798 minWGsign=0.5000 minWGstrong=0.0472 topK=0.0925 rel=5.29x CV=0.4841 signStable=0.938
|
| 80 |
+
feature= 45 score=0.429763 nearLayers=0.000 meanU=0.4691 minWGsign=0.5000 minWGstrong=0.0254 topK=0.1998 rel=5.84x CV=0.5489 signStable=0.875
|
| 81 |
+
feature= 55 score=0.428651 nearLayers=0.000 meanU=0.4505 minWGsign=0.5000 minWGstrong=0.2331 topK=0.1687 rel=3.62x CV=0.6069 signStable=0.750
|
| 82 |
+
feature= 104 score=0.428048 nearLayers=0.000 meanU=0.4742 minWGsign=0.5000 minWGstrong=0.0398 topK=0.1800 rel=7.17x CV=0.5443 signStable=0.812
|
| 83 |
+
feature= 65 score=0.427661 nearLayers=0.000 meanU=0.4782 minWGsign=0.5010 minWGstrong=0.0143 topK=0.1311 rel=5.87x CV=0.6141 signStable=0.938
|
| 84 |
+
feature= 128 score=0.427191 nearLayers=0.000 meanU=0.4532 minWGsign=0.5000 minWGstrong=0.0497 topK=0.0413 rel=4.60x CV=0.3136 signStable=0.938
|
| 85 |
+
feature= 173 score=0.426388 nearLayers=0.000 meanU=0.4311 minWGsign=0.5000 minWGstrong=0.0244 topK=0.0570 rel=5.10x CV=0.3818 signStable=1.000
|
| 86 |
+
feature= 100 score=0.425714 nearLayers=0.000 meanU=0.4579 minWGsign=0.5007 minWGstrong=0.0028 topK=0.0935 rel=5.33x CV=0.3797 signStable=0.938
|
| 87 |
+
feature= 347 score=0.425204 nearLayers=0.000 meanU=0.4696 minWGsign=0.5007 minWGstrong=0.0000 topK=0.0408 rel=5.37x CV=0.3234 signStable=0.938
|
| 88 |
+
feature= 177 score=0.424931 nearLayers=0.000 meanU=0.4616 minWGsign=0.5041 minWGstrong=0.0014 topK=0.0683 rel=4.61x CV=0.3203 signStable=0.938
|
| 89 |
+
feature= 95 score=0.424159 nearLayers=0.000 meanU=0.4423 minWGsign=0.5010 minWGstrong=0.0496 topK=0.0989 rel=4.88x CV=0.4831 signStable=0.938
|
| 90 |
+
feature= 485 score=0.421639 nearLayers=0.000 meanU=0.4476 minWGsign=0.5056 minWGstrong=0.0000 topK=0.0046 rel=4.46x CV=0.3295 signStable=1.000
|
| 91 |
+
feature= 153 score=0.421210 nearLayers=0.000 meanU=0.3996 minWGsign=0.5000 minWGstrong=0.0689 topK=0.0267 rel=3.30x CV=0.3144 signStable=1.000
|
| 92 |
+
feature= 141 score=0.420994 nearLayers=0.031 meanU=0.4537 minWGsign=0.5007 minWGstrong=0.0000 topK=0.0729 rel=4.45x CV=0.3223 signStable=0.875
|
| 93 |
+
feature= 53 score=0.420524 nearLayers=0.000 meanU=0.4015 minWGsign=0.5000 minWGstrong=0.1324 topK=0.1693 rel=2.32x CV=0.6003 signStable=0.938
|
| 94 |
+
feature= 82 score=0.420339 nearLayers=0.250 meanU=0.4894 minWGsign=0.5000 minWGstrong=0.0000 topK=0.1537 rel=2.75x CV=0.3028 signStable=0.500
|
| 95 |
+
feature= 163 score=0.418827 nearLayers=0.000 meanU=0.4447 minWGsign=0.5015 minWGstrong=0.0560 topK=0.0434 rel=4.76x CV=0.4999 signStable=0.938
|
| 96 |
+
feature= 156 score=0.418739 nearLayers=0.000 meanU=0.4377 minWGsign=0.5020 minWGstrong=0.0000 topK=0.0467 rel=5.31x CV=0.3654 signStable=0.938
|
| 97 |
+
feature= 132 score=0.418606 nearLayers=0.000 meanU=0.4366 minWGsign=0.5000 minWGstrong=0.0320 topK=0.0926 rel=4.86x CV=0.5344 signStable=0.938
|
| 98 |
+
feature= 127 score=0.417418 nearLayers=0.000 meanU=0.4358 minWGsign=0.5000 minWGstrong=0.0336 topK=0.0977 rel=4.46x CV=0.5446 signStable=0.938
|
| 99 |
+
feature= 93 score=0.416651 nearLayers=0.000 meanU=0.4400 minWGsign=0.5000 minWGstrong=0.0067 topK=0.1371 rel=3.67x CV=0.4929 signStable=0.938
|
| 100 |
+
feature= 148 score=0.415552 nearLayers=0.000 meanU=0.5027 minWGsign=0.5007 minWGstrong=0.0285 topK=0.0591 rel=6.15x CV=0.3844 signStable=0.750
|
| 101 |
+
feature= 223 score=0.415373 nearLayers=0.000 meanU=0.4427 minWGsign=0.5007 minWGstrong=0.0043 topK=0.0303 rel=4.93x CV=0.3935 signStable=0.938
|
| 102 |
+
feature= 151 score=0.415160 nearLayers=0.000 meanU=0.4170 minWGsign=0.5014 minWGstrong=0.0169 topK=0.0589 rel=4.30x CV=0.5226 signStable=1.000
|
| 103 |
+
feature= 111 score=0.414955 nearLayers=0.000 meanU=0.4119 minWGsign=0.5009 minWGstrong=0.0000 topK=0.0287 rel=4.38x CV=0.2855 signStable=0.938
|
| 104 |
+
feature= 193 score=0.414634 nearLayers=0.000 meanU=0.4768 minWGsign=0.5000 minWGstrong=0.0043 topK=0.0912 rel=4.52x CV=0.4820 signStable=0.875
|
| 105 |
+
feature= 89 score=0.414383 nearLayers=0.000 meanU=0.4492 minWGsign=0.5000 minWGstrong=0.0674 topK=0.1476 rel=3.81x CV=0.5131 signStable=0.812
|
| 106 |
+
feature= 276 score=0.414343 nearLayers=0.000 meanU=0.4058 minWGsign=0.5010 minWGstrong=0.0000 topK=0.0319 rel=3.91x CV=0.3503 signStable=1.000
|
| 107 |
+
feature= 137 score=0.414338 nearLayers=0.000 meanU=0.4839 minWGsign=0.5007 minWGstrong=0.0450 topK=0.0907 rel=5.94x CV=0.4566 signStable=0.750
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/layer_features.csv
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f68b2d99daa2b5b05470d35b849e5678b4234fc64df11ca5bf94d12da63c6f90
|
| 3 |
+
size 20329732
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/persistent_channels.csv
ADDED
|
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See raw diff
|
|
|
analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/runtime.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "Qwen/Qwen3.5-4B",
|
| 3 |
+
"loader": "AutoModelForMultimodalLM",
|
| 4 |
+
"stack": "model.language_model.layers",
|
| 5 |
+
"n_layers": 32,
|
| 6 |
+
"hidden_size": 2560,
|
| 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 |
+
}
|