layer_id
int64 0
223
| name
stringlengths 26
32
| D
float64 0.03
0.18
| M
int64 1.02k
4.1k
| N
int64 4.1k
14.3k
| Q
float64 1
4
| alpha
float64 2.02
8.65
| alpha_weighted
float64 -20.71
-1.63
| entropy
float64 0.77
1.55
| has_esd
bool 1
class | lambda_max
float32 0
0.2
| layer_type
stringclasses 1
value | log_alpha_norm
float64 -20.64
-1.6
| log_norm
float32 -1.48
-0.16
| log_spectral_norm
float32 -2.44
-0.7
| matrix_rank
int64 64
64
| norm
float32 0.03
0.69
| num_evals
int64 1.02k
4.1k
| num_pl_spikes
int64 5
64
| rank_loss
int64 960
4.03k
| rf
int64 1
1
| sigma
float64 0.19
1.31
| spectral_norm
float32 0
0.2
| stable_rank
float32 1.95
30.3
| status
stringclasses 1
value | sv_max
float64 0.06
0.45
| sv_min
float64 0
0
| warning
stringclasses 2
values | weak_rank_loss
int64 960
4.03k
| xmax
float64 0
0.2
| xmin
float64 0
0.01
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
100
|
model.layers.14.mlp.up_proj
| 0.051827
| 4,096
| 14,336
| 3.5
| 2.800088
| -3.628625
| 1.488427
| true
| 0.050594
|
dense
| -3.588206
| -0.518272
| -1.295897
| 64
| 0.303199
| 4,096
| 16
| 4,032
| 1
| 0.450022
| 0.050594
| 5.992734
|
success
| 0.224932
| 0.000001
| 4,032
| 0.050594
| 0.004062
|
|
101
|
model.layers.14.self_attn.k_proj
| 0.057086
| 1,024
| 4,096
| 4
| 6.199175
| -14.232983
| 1.129956
| true
| 0.005059
|
dense
| -14.099066
| -0.911296
| -2.295948
| 64
| 0.12266
| 1,024
| 47
| 960
| 1
| 0.758378
| 0.005059
| 24.246637
|
success
| 0.071126
| 0.000001
|
under-trained
| 960
| 0.005059
| 0.00164
|
102
|
model.layers.14.self_attn.o_proj
| 0.090266
| 4,096
| 4,096
| 1
| 2.585232
| -4.272046
| 1.448028
| true
| 0.02226
|
dense
| -4.256153
| -1.034877
| -1.65248
| 64
| 0.092283
| 4,096
| 10
| 4,032
| 1
| 0.501294
| 0.02226
| 4.145756
|
success
| 0.149197
| 0
| 4,032
| 0.02226
| 0.001198
|
|
103
|
model.layers.14.self_attn.q_proj
| 0.105963
| 4,096
| 4,096
| 1
| 3.329436
| -6.011685
| 1.53537
| true
| 0.015645
|
dense
| -5.827881
| -0.723697
| -1.805617
| 64
| 0.188931
| 4,096
| 13
| 4,032
| 1
| 0.646069
| 0.015645
| 12.075896
|
success
| 0.125081
| 0
| 4,032
| 0.015645
| 0.002949
|
|
104
|
model.layers.14.self_attn.v_proj
| 0.123454
| 1,024
| 4,096
| 4
| 6.821701
| -15.461374
| 1.094498
| true
| 0.005414
|
dense
| -15.461344
| -1.379272
| -2.266498
| 64
| 0.041757
| 1,024
| 64
| 960
| 1
| 0.727713
| 0.005414
| 7.713043
|
success
| 0.073578
| 0.000001
|
under-trained
| 960
| 0.005414
| 0.000497
|
105
|
model.layers.15.mlp.down_proj
| 0.070957
| 4,096
| 14,336
| 3.5
| 3.021847
| -4.307824
| 1.511609
| true
| 0.037535
|
dense
| -4.27718
| -0.583201
| -1.42556
| 64
| 0.261095
| 4,096
| 13
| 4,032
| 1
| 0.56076
| 0.037535
| 6.955993
|
success
| 0.19374
| 0.000001
| 4,032
| 0.037535
| 0.003697
|
|
106
|
model.layers.15.mlp.gate_proj
| 0.062411
| 4,096
| 14,336
| 3.5
| 3.060523
| -4.569587
| 1.532581
| true
| 0.032131
|
dense
| -4.388315
| -0.43447
| -1.493074
| 64
| 0.367731
| 4,096
| 13
| 4,032
| 1
| 0.571486
| 0.032131
| 11.444687
|
success
| 0.179252
| 0.000001
| 4,032
| 0.032131
| 0.005762
|
|
107
|
model.layers.15.mlp.up_proj
| 0.068851
| 4,096
| 14,336
| 3.5
| 3.065923
| -4.183579
| 1.504459
| true
| 0.043197
|
dense
| -4.148508
| -0.526475
| -1.364542
| 64
| 0.297526
| 4,096
| 21
| 4,032
| 1
| 0.450821
| 0.043197
| 6.887586
|
success
| 0.20784
| 0.000001
| 4,032
| 0.043197
| 0.003679
|
|
108
|
model.layers.15.self_attn.k_proj
| 0.037717
| 1,024
| 4,096
| 4
| 8.646316
| -20.710051
| 1.13398
| true
| 0.004025
|
dense
| -20.638224
| -0.914096
| -2.395246
| 64
| 0.121872
| 1,024
| 34
| 960
| 1
| 1.311332
| 0.004025
| 30.279596
|
success
| 0.063442
| 0.000001
|
under-trained
| 960
| 0.004025
| 0.001807
|
109
|
model.layers.15.self_attn.o_proj
| 0.122858
| 4,096
| 4,096
| 1
| 2.504459
| -4.26952
| 1.476369
| true
| 0.019735
|
dense
| -4.239047
| -1.01376
| -1.704768
| 64
| 0.096881
| 4,096
| 7
| 4,032
| 1
| 0.568632
| 0.019735
| 4.909166
|
success
| 0.140481
| 0
| 4,032
| 0.019735
| 0.001465
|
|
110
|
model.layers.15.self_attn.q_proj
| 0.096988
| 4,096
| 4,096
| 1
| 4.536139
| -8.823039
| 1.547764
| true
| 0.011349
|
dense
| -8.549584
| -0.714671
| -1.945055
| 64
| 0.192898
| 4,096
| 28
| 4,032
| 1
| 0.668267
| 0.011349
| 16.997444
|
success
| 0.10653
| 0
| 4,032
| 0.011349
| 0.0026
|
|
111
|
model.layers.15.self_attn.v_proj
| 0.125653
| 1,024
| 4,096
| 4
| 7.41719
| -17.159905
| 1.100835
| true
| 0.004858
|
dense
| -17.159896
| -1.389447
| -2.313532
| 64
| 0.04079
| 1,024
| 64
| 960
| 1
| 0.802149
| 0.004858
| 8.396245
|
success
| 0.0697
| 0.000001
|
under-trained
| 960
| 0.004858
| 0.0005
|
112
|
model.layers.16.mlp.down_proj
| 0.069149
| 4,096
| 14,336
| 3.5
| 2.994428
| -4.299193
| 1.509609
| true
| 0.036666
|
dense
| -4.262789
| -0.590133
| -1.435731
| 64
| 0.256961
| 4,096
| 18
| 4,032
| 1
| 0.470091
| 0.036666
| 7.008056
|
success
| 0.191485
| 0.000001
| 4,032
| 0.036666
| 0.003171
|
|
113
|
model.layers.16.mlp.gate_proj
| 0.071433
| 4,096
| 14,336
| 3.5
| 3.363564
| -5.22929
| 1.53804
| true
| 0.027881
|
dense
| -5.020193
| -0.429531
| -1.554687
| 64
| 0.371936
| 4,096
| 19
| 4,032
| 1
| 0.542239
| 0.027881
| 13.339994
|
success
| 0.166977
| 0.000001
| 4,032
| 0.027881
| 0.005212
|
|
114
|
model.layers.16.mlp.up_proj
| 0.071571
| 4,096
| 14,336
| 3.5
| 3.042077
| -4.257494
| 1.507473
| true
| 0.039853
|
dense
| -4.211461
| -0.537539
| -1.399535
| 64
| 0.290042
| 4,096
| 22
| 4,032
| 1
| 0.435372
| 0.039853
| 7.277741
|
success
| 0.199633
| 0.000001
| 4,032
| 0.039853
| 0.003506
|
|
115
|
model.layers.16.self_attn.k_proj
| 0.041292
| 1,024
| 4,096
| 4
| 8.196622
| -19.099869
| 1.132987
| true
| 0.004675
|
dense
| -19.076341
| -0.914985
| -2.330212
| 64
| 0.121623
| 1,024
| 36
| 960
| 1
| 1.199437
| 0.004675
| 26.015173
|
success
| 0.068374
| 0.000001
|
under-trained
| 960
| 0.004675
| 0.001777
|
116
|
model.layers.16.self_attn.o_proj
| 0.120509
| 4,096
| 4,096
| 1
| 2.506106
| -4.330797
| 1.489687
| true
| 0.018703
|
dense
| -4.291268
| -0.994538
| -1.728098
| 64
| 0.101266
| 4,096
| 7
| 4,032
| 1
| 0.569255
| 0.018703
| 5.414517
|
success
| 0.136757
| 0
| 4,032
| 0.018703
| 0.001499
|
|
117
|
model.layers.16.self_attn.q_proj
| 0.086157
| 4,096
| 4,096
| 1
| 5.534747
| -10.994184
| 1.553557
| true
| 0.010318
|
dense
| -10.80152
| -0.697787
| -1.986393
| 64
| 0.200545
| 4,096
| 45
| 4,032
| 1
| 0.676
| 0.010318
| 19.435957
|
success
| 0.101579
| 0
| 4,032
| 0.010318
| 0.00258
|
|
118
|
model.layers.16.self_attn.v_proj
| 0.119849
| 1,024
| 4,096
| 4
| 7.636985
| -18.037476
| 1.111341
| true
| 0.004347
|
dense
| -18.037442
| -1.351812
| -2.361858
| 64
| 0.044482
| 1,024
| 64
| 960
| 1
| 0.829623
| 0.004347
| 10.234013
|
success
| 0.065928
| 0.000001
|
under-trained
| 960
| 0.004347
| 0.00056
|
119
|
model.layers.17.mlp.down_proj
| 0.057677
| 4,096
| 14,336
| 3.5
| 2.925293
| -4.425994
| 1.52282
| true
| 0.03069
|
dense
| -4.336686
| -0.571949
| -1.513008
| 64
| 0.267948
| 4,096
| 15
| 4,032
| 1
| 0.497109
| 0.03069
| 8.730907
|
success
| 0.175185
| 0.000001
| 4,032
| 0.03069
| 0.003644
|
|
120
|
model.layers.17.mlp.gate_proj
| 0.08632
| 4,096
| 14,336
| 3.5
| 3.363855
| -5.343612
| 1.538498
| true
| 0.025791
|
dense
| -5.078477
| -0.435103
| -1.588538
| 64
| 0.367195
| 4,096
| 22
| 4,032
| 1
| 0.503976
| 0.025791
| 14.237547
|
success
| 0.160595
| 0.000001
| 4,032
| 0.025791
| 0.004822
|
|
121
|
model.layers.17.mlp.up_proj
| 0.066077
| 4,096
| 14,336
| 3.5
| 2.984643
| -4.25335
| 1.512351
| true
| 0.037577
|
dense
| -4.176748
| -0.52061
| -1.425078
| 64
| 0.301571
| 4,096
| 21
| 4,032
| 1
| 0.433085
| 0.037577
| 8.025428
|
success
| 0.193848
| 0.000001
| 4,032
| 0.037577
| 0.003673
|
|
122
|
model.layers.17.self_attn.k_proj
| 0.076913
| 1,024
| 4,096
| 4
| 5.344615
| -11.449767
| 1.12312
| true
| 0.007206
|
dense
| -11.42087
| -0.93969
| -2.1423
| 64
| 0.114897
| 1,024
| 62
| 960
| 1
| 0.551767
| 0.007206
| 15.94444
|
success
| 0.084889
| 0.000001
| 960
| 0.007206
| 0.001375
|
|
123
|
model.layers.17.self_attn.o_proj
| 0.109501
| 4,096
| 4,096
| 1
| 2.681201
| -4.596399
| 1.476859
| true
| 0.019306
|
dense
| -4.576493
| -1.021634
| -1.714306
| 64
| 0.095141
| 4,096
| 9
| 4,032
| 1
| 0.5604
| 0.019306
| 4.92802
|
success
| 0.138946
| 0
| 4,032
| 0.019306
| 0.001343
|
|
124
|
model.layers.17.self_attn.q_proj
| 0.110106
| 4,096
| 4,096
| 1
| 3.725948
| -6.799514
| 1.534264
| true
| 0.014966
|
dense
| -6.590783
| -0.731528
| -1.824908
| 64
| 0.185555
| 4,096
| 19
| 4,032
| 1
| 0.625375
| 0.014966
| 12.398818
|
success
| 0.122334
| 0
| 4,032
| 0.014966
| 0.002582
|
|
125
|
model.layers.17.self_attn.v_proj
| 0.099106
| 1,024
| 4,096
| 4
| 7.040562
| -16.239521
| 1.100732
| true
| 0.004937
|
dense
| -16.239505
| -1.384083
| -2.306566
| 64
| 0.041297
| 1,024
| 64
| 960
| 1
| 0.75507
| 0.004937
| 8.365337
|
success
| 0.070261
| 0.000001
|
under-trained
| 960
| 0.004937
| 0.000501
|
126
|
model.layers.18.mlp.down_proj
| 0.071383
| 4,096
| 14,336
| 3.5
| 3.122996
| -4.761385
| 1.524815
| true
| 0.02988
|
dense
| -4.679995
| -0.570696
| -1.524621
| 64
| 0.268722
| 4,096
| 16
| 4,032
| 1
| 0.530749
| 0.02988
| 8.993419
|
success
| 0.172858
| 0.000001
| 4,032
| 0.02988
| 0.00353
|
|
127
|
model.layers.18.mlp.gate_proj
| 0.097748
| 4,096
| 14,336
| 3.5
| 3.587258
| -5.752391
| 1.53836
| true
| 0.024914
|
dense
| -5.481344
| -0.438982
| -1.603562
| 64
| 0.36393
| 4,096
| 25
| 4,032
| 1
| 0.517452
| 0.024914
| 14.607631
|
success
| 0.157841
| 0.000001
| 4,032
| 0.024914
| 0.004635
|
|
128
|
model.layers.18.mlp.up_proj
| 0.083083
| 4,096
| 14,336
| 3.5
| 2.97663
| -4.262311
| 1.51109
| true
| 0.036989
|
dense
| -4.169111
| -0.521359
| -1.431925
| 64
| 0.301051
| 4,096
| 18
| 4,032
| 1
| 0.465896
| 0.036989
| 8.138896
|
success
| 0.192326
| 0.000001
| 4,032
| 0.036989
| 0.00387
|
|
129
|
model.layers.18.self_attn.k_proj
| 0.042833
| 1,024
| 4,096
| 4
| 7.462724
| -17.60662
| 1.132488
| true
| 0.004372
|
dense
| -17.552315
| -0.942999
| -2.359275
| 64
| 0.114025
| 1,024
| 56
| 960
| 1
| 0.863618
| 0.004372
| 26.078098
|
success
| 0.066124
| 0.000001
|
under-trained
| 960
| 0.004372
| 0.001533
|
130
|
model.layers.18.self_attn.o_proj
| 0.14367
| 4,096
| 4,096
| 1
| 3.131129
| -5.526621
| 1.497595
| true
| 0.017177
|
dense
| -5.510782
| -0.991533
| -1.765057
| 64
| 0.101969
| 4,096
| 13
| 4,032
| 1
| 0.591069
| 0.017177
| 5.936418
|
success
| 0.13106
| 0
| 4,032
| 0.017177
| 0.001331
|
|
131
|
model.layers.18.self_attn.q_proj
| 0.104319
| 4,096
| 4,096
| 1
| 6.274545
| -12.388616
| 1.550981
| true
| 0.010607
|
dense
| -12.140452
| -0.710425
| -1.974425
| 64
| 0.194794
| 4,096
| 64
| 4,032
| 1
| 0.659318
| 0.010607
| 18.365349
|
success
| 0.102988
| 0
|
under-trained
| 4,032
| 0.010607
| 0.002386
|
132
|
model.layers.18.self_attn.v_proj
| 0.121918
| 1,024
| 4,096
| 4
| 7.790656
| -18.424523
| 1.110799
| true
| 0.004316
|
dense
| -18.424488
| -1.356509
| -2.364951
| 64
| 0.044004
| 1,024
| 64
| 960
| 1
| 0.848832
| 0.004316
| 10.196293
|
success
| 0.065694
| 0.000001
|
under-trained
| 960
| 0.004316
| 0.000555
|
133
|
model.layers.19.mlp.down_proj
| 0.103851
| 4,096
| 14,336
| 3.5
| 2.783166
| -4.39243
| 1.527772
| true
| 0.026411
|
dense
| -4.205248
| -0.572705
| -1.578213
| 64
| 0.267482
| 4,096
| 11
| 4,032
| 1
| 0.537645
| 0.026411
| 10.127645
|
success
| 0.162515
| 0.000001
| 4,032
| 0.026411
| 0.003934
|
|
134
|
model.layers.19.mlp.gate_proj
| 0.100896
| 4,096
| 14,336
| 3.5
| 3.203293
| -5.172868
| 1.540524
| true
| 0.024274
|
dense
| -4.861641
| -0.445934
| -1.61486
| 64
| 0.358151
| 4,096
| 17
| 4,032
| 1
| 0.534377
| 0.024274
| 14.75455
|
success
| 0.155801
| 0.000001
| 4,032
| 0.024274
| 0.004964
|
|
135
|
model.layers.19.mlp.up_proj
| 0.077495
| 4,096
| 14,336
| 3.5
| 2.774112
| -4.078
| 1.51257
| true
| 0.033883
|
dense
| -3.924596
| -0.53195
| -1.47002
| 64
| 0.293799
| 4,096
| 15
| 4,032
| 1
| 0.458074
| 0.033883
| 8.671007
|
success
| 0.184073
| 0.000001
| 4,032
| 0.033883
| 0.003921
|
|
136
|
model.layers.19.self_attn.k_proj
| 0.04709
| 1,024
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| 4
| 7.184724
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| 0.003889
|
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| -17.108346
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| 64
| 0.115175
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| 56
| 960
| 1
| 0.826469
| 0.003889
| 29.616436
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| 0.062361
| 0.000001
|
under-trained
| 960
| 0.003889
| 0.001541
|
137
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model.layers.19.self_attn.o_proj
| 0.132094
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| 4,096
| 1
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| 0.01707
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| -4.859072
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| 64
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| 8
| 4,032
| 1
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| 0.01707
| 6.640643
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| 0
| 4,032
| 0.01707
| 0.001648
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|
138
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model.layers.19.self_attn.q_proj
| 0.093234
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| 4,096
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| 0.010937
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| -11.927908
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| 64
| 0.19115
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| 61
| 4,032
| 1
| 0.660407
| 0.010937
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| 0.104579
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|
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| 4,032
| 0.010937
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|
139
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model.layers.19.self_attn.v_proj
| 0.125872
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| 4
| 8.091071
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| 0.004539
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| 64
| 0.052
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| 960
| 1
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| 11.457603
|
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| 0.067368
| 0.000001
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| 960
| 0.004539
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140
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model.layers.20.mlp.down_proj
| 0.103056
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| 14,336
| 3.5
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| 0.022954
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| 64
| 0.266889
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| 14
| 4,032
| 1
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141
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model.layers.20.mlp.gate_proj
| 0.107723
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| 14,336
| 3.5
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| 0.023881
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| 64
| 0.356052
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| 16
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| 0.023881
| 14.909585
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| 0.154534
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| 4,032
| 0.023881
| 0.004929
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142
|
model.layers.20.mlp.up_proj
| 0.093373
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| 14,336
| 3.5
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| 0.03134
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| 64
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| 11
| 4,032
| 1
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| 0.03134
| 9.177135
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| 0.177032
| 0.000001
| 4,032
| 0.03134
| 0.004204
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143
|
model.layers.20.self_attn.k_proj
| 0.031205
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| 4
| 6.975102
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| 0.004018
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| -16.606544
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| 64
| 0.107233
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| 60
| 960
| 1
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| 0.004018
| 26.689388
|
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| 0.063386
| 0.000001
|
under-trained
| 960
| 0.004018
| 0.001405
|
144
|
model.layers.20.self_attn.o_proj
| 0.174078
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| 4,096
| 1
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| true
| 0.017364
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| -5.262796
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| 64
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| 9
| 4,032
| 1
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| 0.017364
| 6.964087
|
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| 0.131774
| 0
| 4,032
| 0.017364
| 0.001692
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145
|
model.layers.20.self_attn.q_proj
| 0.092093
| 4,096
| 4,096
| 1
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| 0.011317
|
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| -10.111431
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| 64
| 0.197921
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| 36
| 4,032
| 1
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| 0.011317
| 17.488613
|
success
| 0.106382
| 0
| 4,032
| 0.011317
| 0.002627
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146
|
model.layers.20.self_attn.v_proj
| 0.104626
| 1,024
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| 4
| 7.85427
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| 1.118896
| true
| 0.004591
|
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| -18.363723
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| 64
| 0.057088
| 1,024
| 63
| 960
| 1
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| 0.004591
| 12.434187
|
success
| 0.067758
| 0.000001
|
under-trained
| 960
| 0.004591
| 0.000735
|
147
|
model.layers.21.mlp.down_proj
| 0.079596
| 4,096
| 14,336
| 3.5
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| true
| 0.023247
|
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| 64
| 0.263366
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| 17
| 4,032
| 1
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| 0.023247
| 11.329282
|
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| 0.152468
| 0.000001
| 4,032
| 0.023247
| 0.003376
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148
|
model.layers.21.mlp.gate_proj
| 0.094017
| 4,096
| 14,336
| 3.5
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| -4.812227
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| true
| 0.024557
|
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| -4.488498
| -0.449826
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| 64
| 0.354955
| 4,096
| 14
| 4,032
| 1
| 0.531663
| 0.024557
| 14.454076
|
success
| 0.156708
| 0.000001
| 4,032
| 0.024557
| 0.005015
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|
149
|
model.layers.21.mlp.up_proj
| 0.091166
| 4,096
| 14,336
| 3.5
| 2.582572
| -3.912199
| 1.511829
| true
| 0.03056
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| -3.678549
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| 64
| 0.277981
| 4,096
| 12
| 4,032
| 1
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| 0.03056
| 9.096218
|
success
| 0.174814
| 0.000001
| 4,032
| 0.03056
| 0.003957
|
|
150
|
model.layers.21.self_attn.k_proj
| 0.079493
| 1,024
| 4,096
| 4
| 6.956964
| -15.629022
| 1.126659
| true
| 0.005669
|
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| -15.582809
| -0.958626
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| 64
| 0.109995
| 1,024
| 64
| 960
| 1
| 0.744621
| 0.005669
| 19.404533
|
success
| 0.07529
| 0.000001
|
under-trained
| 960
| 0.005669
| 0.001404
|
151
|
model.layers.21.self_attn.o_proj
| 0.176281
| 4,096
| 4,096
| 1
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| -6.003884
| 1.513879
| true
| 0.016547
|
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| -5.983528
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| 64
| 0.116761
| 4,096
| 12
| 4,032
| 1
| 0.684322
| 0.016547
| 7.056139
|
success
| 0.128637
| 0
| 4,032
| 0.016547
| 0.001583
|
|
152
|
model.layers.21.self_attn.q_proj
| 0.066834
| 4,096
| 4,096
| 1
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| -8.909138
| 1.550841
| true
| 0.011998
|
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| -8.793721
| -0.712162
| -1.920894
| 64
| 0.194016
| 4,096
| 24
| 4,032
| 1
| 0.742607
| 0.011998
| 16.170797
|
success
| 0.109535
| 0
| 4,032
| 0.011998
| 0.002747
|
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153
|
model.layers.21.self_attn.v_proj
| 0.126238
| 1,024
| 4,096
| 4
| 3.311769
| -7.818543
| 1.118226
| true
| 0.004357
|
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| -7.718305
| -1.265306
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| 64
| 0.054287
| 1,024
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| 960
| 1
| 0.873766
| 0.004357
| 12.460354
|
success
| 0.066006
| 0.000001
| 960
| 0.004357
| 0.000847
|
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154
|
model.layers.22.mlp.down_proj
| 0.074772
| 4,096
| 14,336
| 3.5
| 3.019885
| -4.901532
| 1.527962
| true
| 0.023818
|
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| -4.668336
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| 64
| 0.267994
| 4,096
| 18
| 4,032
| 1
| 0.476091
| 0.023818
| 11.251527
|
success
| 0.154332
| 0.000001
| 4,032
| 0.023818
| 0.003375
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155
|
model.layers.22.mlp.gate_proj
| 0.095786
| 4,096
| 14,336
| 3.5
| 3.072182
| -4.98022
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| true
| 0.023929
|
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| -4.653951
| -0.451267
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| 64
| 0.353779
| 4,096
| 15
| 4,032
| 1
| 0.535035
| 0.023929
| 14.784342
|
success
| 0.154691
| 0.000001
| 4,032
| 0.023929
| 0.00493
|
|
156
|
model.layers.22.mlp.up_proj
| 0.081175
| 4,096
| 14,336
| 3.5
| 2.789309
| -4.256108
| 1.512422
| true
| 0.029794
|
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| -4.035986
| -0.551264
| -1.525865
| 64
| 0.281019
| 4,096
| 18
| 4,032
| 1
| 0.421744
| 0.029794
| 9.431942
|
success
| 0.172611
| 0.000001
| 4,032
| 0.029794
| 0.003397
|
|
157
|
model.layers.22.self_attn.k_proj
| 0.032389
| 1,024
| 4,096
| 4
| 6.590438
| -15.656089
| 1.131142
| true
| 0.004211
|
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| -15.559769
| -0.975978
| -2.375576
| 64
| 0.105687
| 1,024
| 62
| 960
| 1
| 0.709986
| 0.004211
| 25.095661
|
success
| 0.064895
| 0.000001
|
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| 960
| 0.004211
| 0.001358
|
158
|
model.layers.22.self_attn.o_proj
| 0.167063
| 4,096
| 4,096
| 1
| 2.517164
| -4.428645
| 1.512564
| true
| 0.017403
|
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| -4.347603
| -0.919943
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| 64
| 0.120242
| 4,096
| 5
| 4,032
| 1
| 0.678496
| 0.017403
| 6.909326
|
success
| 0.13192
| 0
| 4,032
| 0.017403
| 0.002152
|
|
159
|
model.layers.22.self_attn.q_proj
| 0.05687
| 4,096
| 4,096
| 1
| 4.553436
| -8.80271
| 1.551259
| true
| 0.011663
|
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| -8.666579
| -0.705602
| -1.933201
| 64
| 0.196969
| 4,096
| 26
| 4,032
| 1
| 0.696886
| 0.011663
| 16.888807
|
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| 0.107994
| 0
| 4,032
| 0.011663
| 0.002756
|
|
160
|
model.layers.22.self_attn.v_proj
| 0.118992
| 1,024
| 4,096
| 4
| 7.647707
| -17.960785
| 1.117166
| true
| 0.004482
|
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| -17.960598
| -1.271057
| -2.348519
| 64
| 0.053573
| 1,024
| 64
| 960
| 1
| 0.830963
| 0.004482
| 11.952587
|
success
| 0.066948
| 0.000001
|
under-trained
| 960
| 0.004482
| 0.000682
|
161
|
model.layers.23.mlp.down_proj
| 0.081972
| 4,096
| 14,336
| 3.5
| 2.958241
| -4.783727
| 1.525407
| true
| 0.02415
|
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| -4.528521
| -0.572288
| -1.617085
| 64
| 0.267739
| 4,096
| 17
| 4,032
| 1
| 0.474943
| 0.02415
| 11.086566
|
success
| 0.155402
| 0.000001
| 4,032
| 0.02415
| 0.003384
|
|
162
|
model.layers.23.mlp.gate_proj
| 0.11222
| 4,096
| 14,336
| 3.5
| 3.081949
| -4.980754
| 1.542534
| true
| 0.024204
|
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| -4.654759
| -0.445724
| -1.616105
| 64
| 0.358324
| 4,096
| 14
| 4,032
| 1
| 0.556424
| 0.024204
| 14.804085
|
success
| 0.155578
| 0.000001
| 4,032
| 0.024204
| 0.005105
|
|
163
|
model.layers.23.mlp.up_proj
| 0.122277
| 4,096
| 14,336
| 3.5
| 2.754597
| -4.191707
| 1.510211
| true
| 0.030081
|
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| -3.954775
| -0.550779
| -1.521713
| 64
| 0.281333
| 4,096
| 17
| 4,032
| 1
| 0.425552
| 0.030081
| 9.352628
|
success
| 0.173438
| 0.000001
| 4,032
| 0.030081
| 0.003429
|
|
164
|
model.layers.23.self_attn.k_proj
| 0.061232
| 1,024
| 4,096
| 4
| 6.808357
| -15.800998
| 1.129791
| true
| 0.004777
|
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| -15.747591
| -0.965567
| -2.320824
| 64
| 0.108251
| 1,024
| 64
| 960
| 1
| 0.726045
| 0.004777
| 22.659834
|
success
| 0.069117
| 0.000001
|
under-trained
| 960
| 0.004777
| 0.001387
|
165
|
model.layers.23.self_attn.o_proj
| 0.095379
| 4,096
| 4,096
| 1
| 2.760744
| -4.795917
| 1.508561
| true
| 0.018315
|
dense
| -4.753651
| -0.919109
| -1.737183
| 64
| 0.120473
| 4,096
| 9
| 4,032
| 1
| 0.586915
| 0.018315
| 6.577704
|
success
| 0.135335
| 0
| 4,032
| 0.018315
| 0.001733
|
|
166
|
model.layers.23.self_attn.q_proj
| 0.068262
| 4,096
| 4,096
| 1
| 5.252235
| -10.175315
| 1.552267
| true
| 0.011552
|
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| -10.079469
| -0.701534
| -1.93733
| 64
| 0.198823
| 4,096
| 42
| 4,032
| 1
| 0.656134
| 0.011552
| 17.210617
|
success
| 0.107482
| 0
| 4,032
| 0.011552
| 0.002561
|
|
167
|
model.layers.23.self_attn.v_proj
| 0.111805
| 1,024
| 4,096
| 4
| 7.729375
| -18.155227
| 1.119943
| true
| 0.004479
|
dense
| -18.155025
| -1.240277
| -2.348861
| 64
| 0.057507
| 1,024
| 64
| 960
| 1
| 0.841172
| 0.004479
| 12.840569
|
success
| 0.066922
| 0.000001
|
under-trained
| 960
| 0.004479
| 0.000739
|
168
|
model.layers.24.mlp.down_proj
| 0.086787
| 4,096
| 14,336
| 3.5
| 2.812475
| -4.423423
| 1.517943
| true
| 0.026743
|
dense
| -4.199659
| -0.580988
| -1.572786
| 64
| 0.262429
| 4,096
| 16
| 4,032
| 1
| 0.453119
| 0.026743
| 9.81292
|
success
| 0.163534
| 0.000001
| 4,032
| 0.026743
| 0.003283
|
|
169
|
model.layers.24.mlp.gate_proj
| 0.108217
| 4,096
| 14,336
| 3.5
| 3.077065
| -4.972722
| 1.542911
| true
| 0.024207
|
dense
| -4.642523
| -0.443429
| -1.61606
| 64
| 0.360223
| 4,096
| 14
| 4,032
| 1
| 0.555119
| 0.024207
| 14.880961
|
success
| 0.155586
| 0.000001
| 4,032
| 0.024207
| 0.005088
|
|
170
|
model.layers.24.mlp.up_proj
| 0.086578
| 4,096
| 14,336
| 3.5
| 2.725081
| -4.119051
| 1.506911
| true
| 0.030794
|
dense
| -3.900914
| -0.560706
| -1.511533
| 64
| 0.274975
| 4,096
| 18
| 4,032
| 1
| 0.406606
| 0.030794
| 8.929493
|
success
| 0.175482
| 0.000001
| 4,032
| 0.030794
| 0.003231
|
|
171
|
model.layers.24.self_attn.k_proj
| 0.063295
| 1,024
| 4,096
| 4
| 6.460718
| -15.652908
| 1.129588
| true
| 0.003778
|
dense
| -15.450463
| -1.012566
| -2.422781
| 64
| 0.097148
| 1,024
| 64
| 960
| 1
| 0.68259
| 0.003778
| 25.716692
|
success
| 0.061462
| 0.000001
|
under-trained
| 960
| 0.003778
| 0.001229
|
172
|
model.layers.24.self_attn.o_proj
| 0.123548
| 4,096
| 4,096
| 1
| 2.86961
| -4.954011
| 1.495066
| true
| 0.018777
|
dense
| -4.914207
| -0.94394
| -1.726371
| 64
| 0.113778
| 4,096
| 11
| 4,032
| 1
| 0.563709
| 0.018777
| 6.059414
|
success
| 0.13703
| 0
| 4,032
| 0.018777
| 0.001498
|
|
173
|
model.layers.24.self_attn.q_proj
| 0.048025
| 4,096
| 4,096
| 1
| 4.735601
| -9.300159
| 1.550077
| true
| 0.010867
|
dense
| -9.17374
| -0.746334
| -1.963881
| 64
| 0.179335
| 4,096
| 35
| 4,032
| 1
| 0.631432
| 0.010867
| 16.502409
|
success
| 0.104246
| 0
| 4,032
| 0.010867
| 0.002339
|
|
174
|
model.layers.24.self_attn.v_proj
| 0.141549
| 1,024
| 4,096
| 4
| 7.681461
| -18.182051
| 1.116182
| true
| 0.004295
|
dense
| -18.180917
| -1.272719
| -2.367004
| 64
| 0.053368
| 1,024
| 64
| 960
| 1
| 0.835183
| 0.004295
| 12.424675
|
success
| 0.065539
| 0.000001
|
under-trained
| 960
| 0.004295
| 0.000677
|
175
|
model.layers.25.mlp.down_proj
| 0.084803
| 4,096
| 14,336
| 3.5
| 2.624031
| -4.078317
| 1.514263
| true
| 0.027911
|
dense
| -3.840436
| -0.584362
| -1.554218
| 64
| 0.260398
| 4,096
| 14
| 4,032
| 1
| 0.434041
| 0.027911
| 9.329459
|
success
| 0.167067
| 0.000001
| 4,032
| 0.027911
| 0.003322
|
|
176
|
model.layers.25.mlp.gate_proj
| 0.106628
| 4,096
| 14,336
| 3.5
| 3.0995
| -4.974277
| 1.543284
| true
| 0.024839
|
dense
| -4.675506
| -0.441108
| -1.604864
| 64
| 0.362153
| 4,096
| 14
| 4,032
| 1
| 0.561115
| 0.024839
| 14.579967
|
success
| 0.157604
| 0.000001
| 4,032
| 0.024839
| 0.005098
|
|
177
|
model.layers.25.mlp.up_proj
| 0.07333
| 4,096
| 14,336
| 3.5
| 2.721864
| -4.119572
| 1.507759
| true
| 0.030654
|
dense
| -3.897811
| -0.561181
| -1.513511
| 64
| 0.274675
| 4,096
| 18
| 4,032
| 1
| 0.405847
| 0.030654
| 8.960459
|
success
| 0.175083
| 0.000001
| 4,032
| 0.030654
| 0.003226
|
|
178
|
model.layers.25.self_attn.k_proj
| 0.072017
| 1,024
| 4,096
| 4
| 5.910716
| -14.246115
| 1.127593
| true
| 0.003888
|
dense
| -14.083166
| -1.045428
| -2.410218
| 64
| 0.090068
| 1,024
| 64
| 960
| 1
| 0.61384
| 0.003888
| 23.162771
|
success
| 0.062358
| 0.000001
| 960
| 0.003888
| 0.001109
|
|
179
|
model.layers.25.self_attn.o_proj
| 0.130917
| 4,096
| 4,096
| 1
| 2.535992
| -4.479667
| 1.503629
| true
| 0.017122
|
dense
| -4.404227
| -0.953003
| -1.766436
| 64
| 0.111429
| 4,096
| 7
| 4,032
| 1
| 0.58055
| 0.017122
| 6.507784
|
success
| 0.130853
| 0
| 4,032
| 0.017122
| 0.001747
|
|
180
|
model.layers.25.self_attn.q_proj
| 0.06216
| 4,096
| 4,096
| 1
| 3.769991
| -7.473098
| 1.548359
| true
| 0.010417
|
dense
| -7.207383
| -0.744584
| -1.982259
| 64
| 0.180059
| 4,096
| 21
| 4,032
| 1
| 0.604462
| 0.010417
| 17.285206
|
success
| 0.102064
| 0
| 4,032
| 0.010417
| 0.00259
|
|
181
|
model.layers.25.self_attn.v_proj
| 0.114343
| 1,024
| 4,096
| 4
| 7.043728
| -16.877178
| 1.120178
| true
| 0.004017
|
dense
| -16.873665
| -1.252529
| -2.396058
| 64
| 0.055908
| 1,024
| 64
| 960
| 1
| 0.755466
| 0.004017
| 13.916468
|
success
| 0.063383
| 0.000001
|
under-trained
| 960
| 0.004017
| 0.000705
|
182
|
model.layers.26.mlp.down_proj
| 0.086084
| 4,096
| 14,336
| 3.5
| 2.73
| -4.124196
| 1.51121
| true
| 0.030854
|
dense
| -3.946468
| -0.575053
| -1.510695
| 64
| 0.26604
| 4,096
| 15
| 4,032
| 1
| 0.446684
| 0.030854
| 8.622666
|
success
| 0.175652
| 0.000001
| 4,032
| 0.030854
| 0.003319
|
|
183
|
model.layers.26.mlp.gate_proj
| 0.1314
| 4,096
| 14,336
| 3.5
| 2.866928
| -4.578423
| 1.542788
| true
| 0.025294
|
dense
| -4.226251
| -0.435548
| -1.596978
| 64
| 0.366819
| 4,096
| 11
| 4,032
| 1
| 0.5629
| 0.025294
| 14.502092
|
success
| 0.159042
| 0.000001
| 4,032
| 0.025294
| 0.005498
|
|
184
|
model.layers.26.mlp.up_proj
| 0.085293
| 4,096
| 14,336
| 3.5
| 2.72493
| -4.054374
| 1.507879
| true
| 0.032518
|
dense
| -3.856305
| -0.548781
| -1.487882
| 64
| 0.28263
| 4,096
| 17
| 4,032
| 1
| 0.418357
| 0.032518
| 8.691625
|
success
| 0.180326
| 0.000001
| 4,032
| 0.032518
| 0.00337
|
|
185
|
model.layers.26.self_attn.k_proj
| 0.079312
| 1,024
| 4,096
| 4
| 3.89645
| -8.834109
| 1.120099
| true
| 0.005405
|
dense
| -8.64514
| -1.048722
| -2.26722
| 64
| 0.089388
| 1,024
| 14
| 960
| 1
| 0.774109
| 0.005405
| 16.538574
|
success
| 0.073517
| 0.000001
| 960
| 0.005405
| 0.001399
|
|
186
|
model.layers.26.self_attn.o_proj
| 0.113602
| 4,096
| 4,096
| 1
| 2.523885
| -4.260975
| 1.480911
| true
| 0.020499
|
dense
| -4.218082
| -0.967543
| -1.68826
| 64
| 0.10776
| 4,096
| 9
| 4,032
| 1
| 0.507962
| 0.020499
| 5.256752
|
success
| 0.143176
| 0
| 4,032
| 0.020499
| 0.001427
|
|
187
|
model.layers.26.self_attn.q_proj
| 0.058537
| 4,096
| 4,096
| 1
| 3.76136
| -7.07028
| 1.541981
| true
| 0.013191
|
dense
| -6.90823
| -0.739166
| -1.879714
| 64
| 0.18232
| 4,096
| 23
| 4,032
| 1
| 0.575783
| 0.013191
| 13.821252
|
success
| 0.114853
| 0
| 4,032
| 0.013191
| 0.002525
|
|
188
|
model.layers.26.self_attn.v_proj
| 0.10874
| 1,024
| 4,096
| 4
| 7.005587
| -16.662293
| 1.116191
| true
| 0.004184
|
dense
| -16.66157
| -1.297269
| -2.378429
| 64
| 0.050435
| 1,024
| 64
| 960
| 1
| 0.750698
| 0.004184
| 12.054801
|
success
| 0.064682
| 0.000001
|
under-trained
| 960
| 0.004184
| 0.00063
|
189
|
model.layers.27.mlp.down_proj
| 0.087225
| 4,096
| 14,336
| 3.5
| 2.767673
| -4.177903
| 1.508045
| true
| 0.030936
|
dense
| -4.001064
| -0.581225
| -1.509537
| 64
| 0.262286
| 4,096
| 16
| 4,032
| 1
| 0.441918
| 0.030936
| 8.478357
|
success
| 0.175886
| 0.000001
| 4,032
| 0.030936
| 0.003187
|
|
190
|
model.layers.27.mlp.gate_proj
| 0.108623
| 4,096
| 14,336
| 3.5
| 3.015622
| -4.748994
| 1.541597
| true
| 0.02662
|
dense
| -4.469618
| -0.43442
| -1.574798
| 64
| 0.367774
| 4,096
| 14
| 4,032
| 1
| 0.538698
| 0.02662
| 13.815862
|
success
| 0.163155
| 0.000001
| 4,032
| 0.02662
| 0.005123
|
|
191
|
model.layers.27.mlp.up_proj
| 0.080013
| 4,096
| 14,336
| 3.5
| 2.635323
| -3.936561
| 1.508264
| true
| 0.03208
|
dense
| -3.709272
| -0.545852
| -1.493768
| 64
| 0.284543
| 4,096
| 16
| 4,032
| 1
| 0.408831
| 0.03208
| 8.869834
|
success
| 0.179108
| 0.000001
| 4,032
| 0.03208
| 0.003415
|
|
192
|
model.layers.27.self_attn.k_proj
| 0.100903
| 1,024
| 4,096
| 4
| 3.848036
| -8.653889
| 1.115134
| true
| 0.005638
|
dense
| -8.428997
| -1.053695
| -2.24891
| 64
| 0.08837
| 1,024
| 18
| 960
| 1
| 0.671289
| 0.005638
| 15.675286
|
success
| 0.075084
| 0.000001
| 960
| 0.005638
| 0.001285
|
|
193
|
model.layers.27.self_attn.o_proj
| 0.149665
| 4,096
| 4,096
| 1
| 2.882353
| -4.807091
| 1.474397
| true
| 0.02149
|
dense
| -4.79098
| -0.972003
| -1.667766
| 64
| 0.106659
| 4,096
| 12
| 4,032
| 1
| 0.543389
| 0.02149
| 4.963214
|
success
| 0.146594
| 0
| 4,032
| 0.02149
| 0.001339
|
|
194
|
model.layers.27.self_attn.q_proj
| 0.077458
| 4,096
| 4,096
| 1
| 4.298874
| -7.951557
| 1.530192
| true
| 0.014136
|
dense
| -7.731489
| -0.766257
| -1.849683
| 64
| 0.171294
| 4,096
| 44
| 4,032
| 1
| 0.497324
| 0.014136
| 12.117868
|
success
| 0.118894
| 0
| 4,032
| 0.014136
| 0.001972
|
|
195
|
model.layers.27.self_attn.v_proj
| 0.11691
| 1,024
| 4,096
| 4
| 2.962216
| -6.823495
| 1.108643
| true
| 0.004972
|
dense
| -6.732206
| -1.301896
| -2.30351
| 64
| 0.0499
| 1,024
| 7
| 960
| 1
| 0.741648
| 0.004972
| 10.037226
|
success
| 0.070509
| 0.000001
| 960
| 0.004972
| 0.000773
|
|
196
|
model.layers.28.mlp.down_proj
| 0.081542
| 4,096
| 14,336
| 3.5
| 2.671088
| -3.938925
| 1.503762
| true
| 0.033523
|
dense
| -3.792632
| -0.58461
| -1.474652
| 64
| 0.260249
| 4,096
| 15
| 4,032
| 1
| 0.431473
| 0.033523
| 7.763222
|
success
| 0.183094
| 0.000001
| 4,032
| 0.033523
| 0.003181
|
|
197
|
model.layers.28.mlp.gate_proj
| 0.094254
| 4,096
| 14,336
| 3.5
| 2.926973
| -4.452223
| 1.536784
| true
| 0.030123
|
dense
| -4.227278
| -0.4381
| -1.521102
| 64
| 0.36467
| 4,096
| 13
| 4,032
| 1
| 0.534446
| 0.030123
| 12.106011
|
success
| 0.17356
| 0.000001
| 4,032
| 0.030123
| 0.005213
|
|
198
|
model.layers.28.mlp.up_proj
| 0.104847
| 4,096
| 14,336
| 3.5
| 2.518493
| -3.692098
| 1.505129
| true
| 0.034198
|
dense
| -3.464016
| -0.540147
| -1.465995
| 64
| 0.288305
| 4,096
| 12
| 4,032
| 1
| 0.438351
| 0.034198
| 8.43039
|
success
| 0.184928
| 0.000001
| 4,032
| 0.034198
| 0.003868
|
|
199
|
model.layers.28.self_attn.k_proj
| 0.078058
| 1,024
| 4,096
| 4
| 4.026448
| -9.461495
| 1.119544
| true
| 0.004469
|
dense
| -9.104806
| -1.06835
| -2.349837
| 64
| 0.085438
| 1,024
| 20
| 960
| 1
| 0.676734
| 0.004469
| 19.11994
|
success
| 0.066847
| 0.000001
| 960
| 0.004469
| 0.001231
|
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