layer_id
int64 0
223
| name
stringlengths 26
32
| D
float64 0.07
0.18
| M
int64 1.02k
4.1k
| N
int64 4.1k
14.3k
| Q
float64 1
4
| alpha
float64 1.67
8.98
| alpha_weighted
float64 -8.36
1.59
| entropy
float64 0.8
1.31
| has_esd
bool 1
class | lambda_max
float32 0.03
5.52
| layer_type
stringclasses 1
value | log_alpha_norm
float64 -8.25
1.61
| log_norm
float32 -0.65
1.02
| log_spectral_norm
float32 -1.47
0.74
| matrix_rank
int64 64
64
| norm
float32 0.22
10.5
| num_evals
int64 1.02k
4.1k
| num_pl_spikes
int64 5
24
| rank_loss
int64 960
4.03k
| rf
int64 1
1
| sigma
float64 0.14
3.57
| spectral_norm
float32 0.03
5.52
| stable_rank
float32 1.46
10.7
| status
stringclasses 1
value | sv_max
float64 0.18
2.35
| sv_min
float64 0
0
| warning
stringclasses 3
values | weak_rank_loss
int64 960
4.03k
| xmax
float64 0.03
5.52
| xmin
float64 0
0.72
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
100
|
model.layers.14.mlp.up_proj
| 0.131757
| 4,096
| 14,336
| 3.5
| 3.305637
| -0.190549
| 1.247377
| true
| 0.875702
|
dense
| 0.208224
| 0.787785
| -0.057644
| 64
| 6.134576
| 4,096
| 10
| 4,032
| 1
| 0.729106
| 0.875702
| 7.005324
|
success
| 0.935789
| 0.000003
| 4,032
| 0.875702
| 0.289319
|
|
101
|
model.layers.14.self_attn.k_proj
| 0.127773
| 1,024
| 4,096
| 4
| 2.202169
| -2.054667
| 0.931148
| true
| 0.116676
|
dense
| -1.825839
| -0.226163
| -0.93302
| 64
| 0.59407
| 1,024
| 12
| 960
| 1
| 0.347036
| 0.116676
| 5.091632
|
success
| 0.341578
| 0.000001
| 960
| 0.116676
| 0.01184
|
|
102
|
model.layers.14.self_attn.o_proj
| 0.136108
| 4,096
| 4,096
| 1
| 3.720698
| -2.886898
| 1.293951
| true
| 0.167532
|
dense
| -2.644132
| 0.082323
| -0.775902
| 64
| 1.208711
| 4,096
| 9
| 4,032
| 1
| 0.906899
| 0.167532
| 7.21481
|
success
| 0.409307
| 0
| 4,032
| 0.167532
| 0.060565
|
|
103
|
model.layers.14.self_attn.q_proj
| 0.102481
| 4,096
| 4,096
| 1
| 2.354288
| -0.407783
| 1.214213
| true
| 0.671106
|
dense
| -0.295325
| 0.336158
| -0.173209
| 64
| 2.168491
| 4,096
| 10
| 4,032
| 1
| 0.428264
| 0.671106
| 3.231219
|
success
| 0.819211
| 0
| 4,032
| 0.671106
| 0.059556
|
|
104
|
model.layers.14.self_attn.v_proj
| 0.131518
| 1,024
| 4,096
| 4
| 4.733695
| -6.06428
| 0.934887
| true
| 0.052349
|
dense
| -5.994823
| -0.440754
| -1.281088
| 64
| 0.362448
| 1,024
| 6
| 960
| 1
| 1.524274
| 0.052349
| 6.92363
|
success
| 0.2288
| 0.000001
| 960
| 0.052349
| 0.021353
|
|
105
|
model.layers.15.mlp.down_proj
| 0.171227
| 4,096
| 14,336
| 3.5
| 1.99487
| -0.556694
| 1.252345
| true
| 0.525941
|
dense
| -0.042527
| 0.516673
| -0.279063
| 64
| 3.28604
| 4,096
| 16
| 4,032
| 1
| 0.248718
| 0.525941
| 6.247919
|
success
| 0.725218
| 0.000002
|
over-trained
| 4,032
| 0.525941
| 0.056064
|
106
|
model.layers.15.mlp.gate_proj
| 0.119746
| 4,096
| 14,336
| 3.5
| 2.603469
| 0.808726
| 1.200097
| true
| 2.04472
|
dense
| 0.959656
| 0.914757
| 0.310634
| 64
| 8.217831
| 4,096
| 9
| 4,032
| 1
| 0.53449
| 2.04472
| 4.019049
|
success
| 1.429937
| 0.000003
| 4,032
| 2.04472
| 0.336225
|
|
107
|
model.layers.15.mlp.up_proj
| 0.147782
| 4,096
| 14,336
| 3.5
| 3.05811
| -0.096554
| 1.254071
| true
| 0.92988
|
dense
| 0.227045
| 0.797362
| -0.031573
| 64
| 6.271364
| 4,096
| 12
| 4,032
| 1
| 0.594125
| 0.92988
| 6.744273
|
success
| 0.964303
| 0.000003
| 4,032
| 0.92988
| 0.251676
|
|
108
|
model.layers.15.self_attn.k_proj
| 0.163836
| 1,024
| 4,096
| 4
| 1.713777
| -1.625523
| 0.928907
| true
| 0.112589
|
dense
| -1.161297
| -0.166777
| -0.948503
| 64
| 0.68112
| 1,024
| 24
| 960
| 1
| 0.145699
| 0.112589
| 6.049599
|
success
| 0.335543
| 0.000001
|
over-trained
| 960
| 0.112589
| 0.00327
|
109
|
model.layers.15.self_attn.o_proj
| 0.157265
| 4,096
| 4,096
| 1
| 8.975181
| -7.85196
| 1.30193
| true
| 0.133397
|
dense
| -7.763737
| 0.078522
| -0.874853
| 64
| 1.198179
| 4,096
| 5
| 4,032
| 1
| 3.56661
| 0.133397
| 8.982023
|
success
| 0.365236
| 0
|
under-trained
| 4,032
| 0.133397
| 0.089839
|
110
|
model.layers.15.self_attn.q_proj
| 0.082726
| 4,096
| 4,096
| 1
| 2.323039
| -0.420482
| 1.21887
| true
| 0.659166
|
dense
| -0.304926
| 0.340136
| -0.181005
| 64
| 2.188446
| 4,096
| 10
| 4,032
| 1
| 0.418382
| 0.659166
| 3.320023
|
success
| 0.81189
| 0
| 4,032
| 0.659166
| 0.060314
|
|
111
|
model.layers.15.self_attn.v_proj
| 0.139696
| 1,024
| 4,096
| 4
| 5.781924
| -8.355104
| 0.947199
| true
| 0.035889
|
dense
| -8.245389
| -0.485453
| -1.445039
| 64
| 0.326999
| 1,024
| 7
| 960
| 1
| 1.807397
| 0.035889
| 9.111416
|
success
| 0.189444
| 0.000001
| 960
| 0.035889
| 0.017794
|
|
112
|
model.layers.16.mlp.down_proj
| 0.102523
| 4,096
| 14,336
| 3.5
| 2.874258
| -0.30288
| 1.235517
| true
| 0.784555
|
dense
| -0.173643
| 0.533015
| -0.105377
| 64
| 3.412051
| 4,096
| 7
| 4,032
| 1
| 0.708403
| 0.784555
| 4.349028
|
success
| 0.885751
| 0.000002
| 4,032
| 0.784555
| 0.172833
|
|
113
|
model.layers.16.mlp.gate_proj
| 0.123873
| 4,096
| 14,336
| 3.5
| 3.09891
| 1.062916
| 1.195146
| true
| 2.20291
|
dense
| 1.147086
| 0.929532
| 0.342997
| 64
| 8.502209
| 4,096
| 6
| 4,032
| 1
| 0.856877
| 2.20291
| 3.859535
|
success
| 1.484221
| 0.000003
| 4,032
| 2.20291
| 0.525521
|
|
114
|
model.layers.16.mlp.up_proj
| 0.169814
| 4,096
| 14,336
| 3.5
| 3.818406
| -0.336112
| 1.252713
| true
| 0.816537
|
dense
| 0.045831
| 0.797702
| -0.088024
| 64
| 6.276278
| 4,096
| 8
| 4,032
| 1
| 0.996457
| 0.816537
| 7.686459
|
success
| 0.903624
| 0.000003
| 4,032
| 0.816537
| 0.360256
|
|
115
|
model.layers.16.self_attn.k_proj
| 0.111774
| 1,024
| 4,096
| 4
| 1.834971
| -1.671906
| 0.905654
| true
| 0.122706
|
dense
| -1.235767
| -0.158247
| -0.911135
| 64
| 0.694629
| 1,024
| 17
| 960
| 1
| 0.20251
| 0.122706
| 5.660932
|
success
| 0.350294
| 0.000001
|
over-trained
| 960
| 0.122706
| 0.006415
|
116
|
model.layers.16.self_attn.o_proj
| 0.173298
| 4,096
| 4,096
| 1
| 5.412847
| -5.165209
| 1.307261
| true
| 0.111109
|
dense
| -4.66492
| 0.070274
| -0.95425
| 64
| 1.175639
| 4,096
| 8
| 4,032
| 1
| 1.560177
| 0.111109
| 10.580933
|
success
| 0.33333
| 0
| 4,032
| 0.111109
| 0.068463
|
|
117
|
model.layers.16.self_attn.q_proj
| 0.121785
| 4,096
| 4,096
| 1
| 2.412913
| -0.405691
| 1.225183
| true
| 0.678995
|
dense
| -0.337676
| 0.330572
| -0.168133
| 64
| 2.140781
| 4,096
| 11
| 4,032
| 1
| 0.426009
| 0.678995
| 3.152866
|
success
| 0.824012
| 0
| 4,032
| 0.678995
| 0.057183
|
|
118
|
model.layers.16.self_attn.v_proj
| 0.138603
| 1,024
| 4,096
| 4
| 5.562963
| -7.838267
| 0.931375
| true
| 0.038993
|
dense
| -7.66819
| -0.473419
| -1.409009
| 64
| 0.336187
| 1,024
| 5
| 960
| 1
| 2.040619
| 0.038993
| 8.621655
|
success
| 0.197467
| 0.000002
| 960
| 0.038993
| 0.02216
|
|
119
|
model.layers.17.mlp.down_proj
| 0.122398
| 4,096
| 14,336
| 3.5
| 2.266409
| -0.025874
| 1.215847
| true
| 0.974056
|
dense
| 0.131994
| 0.560576
| -0.011416
| 64
| 3.635595
| 4,096
| 12
| 4,032
| 1
| 0.365581
| 0.974056
| 3.732431
|
success
| 0.986943
| 0.000002
| 4,032
| 0.974056
| 0.092465
|
|
120
|
model.layers.17.mlp.gate_proj
| 0.170991
| 4,096
| 14,336
| 3.5
| 4.450642
| 1.345386
| 1.209233
| true
| 2.005813
|
dense
| 1.381316
| 0.940736
| 0.30229
| 64
| 8.724406
| 4,096
| 5
| 4,032
| 1
| 1.543174
| 2.005813
| 4.349561
|
success
| 1.416267
| 0.000003
| 4,032
| 2.005813
| 0.719006
|
|
121
|
model.layers.17.mlp.up_proj
| 0.142645
| 4,096
| 14,336
| 3.5
| 3.587006
| -0.113954
| 1.249289
| true
| 0.929462
|
dense
| 0.17591
| 0.797667
| -0.031769
| 64
| 6.275765
| 4,096
| 8
| 4,032
| 1
| 0.914645
| 0.929462
| 6.752044
|
success
| 0.964086
| 0.000003
| 4,032
| 0.929462
| 0.345897
|
|
122
|
model.layers.17.self_attn.k_proj
| 0.066383
| 1,024
| 4,096
| 4
| 2.068498
| -1.309209
| 0.84157
| true
| 0.232848
|
dense
| -1.199792
| -0.137876
| -0.632927
| 64
| 0.727987
| 1,024
| 15
| 960
| 1
| 0.275885
| 0.232848
| 3.126445
|
success
| 0.482543
| 0.000001
| 960
| 0.232848
| 0.008742
|
|
123
|
model.layers.17.self_attn.o_proj
| 0.173403
| 4,096
| 4,096
| 1
| 2.915579
| -2.406947
| 1.299654
| true
| 0.149435
|
dense
| -1.859997
| 0.127951
| -0.825547
| 64
| 1.342613
| 4,096
| 14
| 4,032
| 1
| 0.51196
| 0.149435
| 8.984578
|
success
| 0.386569
| 0
| 4,032
| 0.149435
| 0.046568
|
|
124
|
model.layers.17.self_attn.q_proj
| 0.098829
| 4,096
| 4,096
| 1
| 2.25746
| -0.652985
| 1.236042
| true
| 0.51374
|
dense
| -0.42149
| 0.319594
| -0.289256
| 64
| 2.087345
| 4,096
| 13
| 4,032
| 1
| 0.348757
| 0.51374
| 4.063035
|
success
| 0.716757
| 0
| 4,032
| 0.51374
| 0.044559
|
|
125
|
model.layers.17.self_attn.v_proj
| 0.150562
| 1,024
| 4,096
| 4
| 3.044586
| -4.463512
| 0.943646
| true
| 0.034194
|
dense
| -3.898037
| -0.449787
| -1.466049
| 64
| 0.354987
| 1,024
| 15
| 960
| 1
| 0.52791
| 0.034194
| 10.381537
|
success
| 0.184916
| 0.000001
| 960
| 0.034194
| 0.010664
|
|
126
|
model.layers.18.mlp.down_proj
| 0.101494
| 4,096
| 14,336
| 3.5
| 2.655248
| -0.433637
| 1.247586
| true
| 0.686573
|
dense
| -0.172236
| 0.549447
| -0.163313
| 64
| 3.543616
| 4,096
| 13
| 4,032
| 1
| 0.459083
| 0.686573
| 5.161307
|
success
| 0.828597
| 0.000002
| 4,032
| 0.686573
| 0.109767
|
|
127
|
model.layers.18.mlp.gate_proj
| 0.106351
| 4,096
| 14,336
| 3.5
| 2.48854
| 0.980212
| 1.177173
| true
| 2.476798
|
dense
| 1.112914
| 0.938791
| 0.393891
| 64
| 8.685427
| 4,096
| 9
| 4,032
| 1
| 0.49618
| 2.476798
| 3.506715
|
success
| 1.573785
| 0.000003
| 4,032
| 2.476798
| 0.325471
|
|
128
|
model.layers.18.mlp.up_proj
| 0.159954
| 4,096
| 14,336
| 3.5
| 3.164737
| 0.089185
| 1.247528
| true
| 1.06704
|
dense
| 0.400486
| 0.847518
| 0.028181
| 64
| 7.03912
| 4,096
| 11
| 4,032
| 1
| 0.652693
| 1.06704
| 6.596863
|
success
| 1.032977
| 0.000003
| 4,032
| 1.06704
| 0.302959
|
|
129
|
model.layers.18.self_attn.k_proj
| 0.098069
| 1,024
| 4,096
| 4
| 2.073608
| -1.889186
| 0.911503
| true
| 0.122726
|
dense
| -1.558499
| -0.179031
| -0.911062
| 64
| 0.66217
| 1,024
| 15
| 960
| 1
| 0.277204
| 0.122726
| 5.395501
|
success
| 0.350323
| 0.000001
| 960
| 0.122726
| 0.009846
|
|
130
|
model.layers.18.self_attn.o_proj
| 0.126288
| 4,096
| 4,096
| 1
| 3.261624
| -2.498722
| 1.288925
| true
| 0.171357
|
dense
| -2.095774
| 0.126366
| -0.766097
| 64
| 1.337722
| 4,096
| 13
| 4,032
| 1
| 0.627262
| 0.171357
| 7.806625
|
success
| 0.413953
| 0
| 4,032
| 0.171357
| 0.051503
|
|
131
|
model.layers.18.self_attn.q_proj
| 0.125804
| 4,096
| 4,096
| 1
| 2.773273
| -0.795442
| 1.264608
| true
| 0.516625
|
dense
| -0.659577
| 0.356131
| -0.286824
| 64
| 2.27055
| 4,096
| 7
| 4,032
| 1
| 0.670234
| 0.516625
| 4.394965
|
success
| 0.718767
| 0
| 4,032
| 0.516625
| 0.106271
|
|
132
|
model.layers.18.self_attn.v_proj
| 0.132688
| 1,024
| 4,096
| 4
| 3.232591
| -4.593876
| 0.934964
| true
| 0.037922
|
dense
| -4.118278
| -0.455066
| -1.421113
| 64
| 0.350699
| 1,024
| 12
| 960
| 1
| 0.644494
| 0.037922
| 9.247979
|
success
| 0.194735
| 0.000002
| 960
| 0.037922
| 0.012452
|
|
133
|
model.layers.19.mlp.down_proj
| 0.110463
| 4,096
| 14,336
| 3.5
| 3.511398
| -0.302393
| 1.248383
| true
| 0.820129
|
dense
| -0.222282
| 0.594121
| -0.086118
| 64
| 3.927545
| 4,096
| 7
| 4,032
| 1
| 0.949219
| 0.820129
| 4.788933
|
success
| 0.90561
| 0.000002
| 4,032
| 0.820129
| 0.219565
|
|
134
|
model.layers.19.mlp.gate_proj
| 0.127735
| 4,096
| 14,336
| 3.5
| 1.961178
| 0.908702
| 1.169757
| true
| 2.906329
|
dense
| 1.083771
| 0.975006
| 0.463345
| 64
| 9.440733
| 4,096
| 16
| 4,032
| 1
| 0.240295
| 2.906329
| 3.248336
|
success
| 1.704796
| 0.000003
|
over-trained
| 4,032
| 2.906329
| 0.133207
|
135
|
model.layers.19.mlp.up_proj
| 0.108822
| 4,096
| 14,336
| 3.5
| 2.994149
| 0.269234
| 1.238254
| true
| 1.230042
|
dense
| 0.50501
| 0.838824
| 0.08992
| 64
| 6.8996
| 4,096
| 11
| 4,032
| 1
| 0.601259
| 1.230042
| 5.60924
|
success
| 1.109073
| 0.000003
| 4,032
| 1.230042
| 0.28134
|
|
136
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model.layers.19.self_attn.k_proj
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| 960
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| 960
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137
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model.layers.19.self_attn.o_proj
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| 4,032
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138
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model.layers.19.self_attn.q_proj
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139
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model.layers.19.self_attn.v_proj
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| 960
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| 960
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140
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model.layers.20.mlp.down_proj
| 0.134991
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141
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model.layers.20.mlp.gate_proj
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142
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model.layers.20.mlp.up_proj
| 0.095826
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143
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model.layers.20.self_attn.k_proj
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| 960
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| 960
| 0.121926
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144
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model.layers.20.self_attn.o_proj
| 0.178187
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145
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model.layers.20.self_attn.q_proj
| 0.111037
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| 17
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| 4,032
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146
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model.layers.20.self_attn.v_proj
| 0.148586
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| 960
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| 960
| 0.05421
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147
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model.layers.21.mlp.down_proj
| 0.08553
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| 12
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148
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model.layers.21.mlp.gate_proj
| 0.096828
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| 1.40454
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| 64
| 10.31398
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success
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149
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model.layers.21.mlp.up_proj
| 0.113977
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| 14,336
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| 7.311728
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| 11
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success
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|
|
150
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model.layers.21.self_attn.k_proj
| 0.114759
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| 960
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success
| 0.41893
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| 960
| 0.175503
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|
151
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model.layers.21.self_attn.o_proj
| 0.157227
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| 12
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| 4,032
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152
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model.layers.21.self_attn.q_proj
| 0.106511
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| 17
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| 4,032
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|
153
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model.layers.21.self_attn.v_proj
| 0.106714
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| 960
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154
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model.layers.22.mlp.down_proj
| 0.097275
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| true
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| 4.565351
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| 12
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|
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155
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model.layers.22.mlp.gate_proj
| 0.107711
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| 14,336
| 3.5
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| true
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| 10.312928
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| 9
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success
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156
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model.layers.22.mlp.up_proj
| 0.108296
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| 3.5
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|
|
157
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model.layers.22.self_attn.k_proj
| 0.096766
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| 960
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|
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| 960
| 0.176173
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|
158
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model.layers.22.self_attn.o_proj
| 0.119607
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|
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| 4,032
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159
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model.layers.22.self_attn.q_proj
| 0.092778
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| 17
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success
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| 4,032
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160
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model.layers.22.self_attn.v_proj
| 0.126951
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| 960
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| 960
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|
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161
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model.layers.23.mlp.down_proj
| 0.136955
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162
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model.layers.23.mlp.gate_proj
| 0.088552
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| 14,336
| 3.5
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| 11
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163
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model.layers.23.mlp.up_proj
| 0.085237
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| 3.5
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|
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164
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model.layers.23.self_attn.k_proj
| 0.120284
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| 960
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| 960
| 0.147366
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165
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model.layers.23.self_attn.o_proj
| 0.128474
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| 14
| 4,032
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166
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model.layers.23.self_attn.q_proj
| 0.143367
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| 16
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167
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model.layers.23.self_attn.v_proj
| 0.120516
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| 4
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| 960
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| 960
| 0.087408
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168
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model.layers.24.mlp.down_proj
| 0.120728
| 4,096
| 14,336
| 3.5
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| 4.457737
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| 11
| 4,032
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success
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| 0.175398
|
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169
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model.layers.24.mlp.gate_proj
| 0.093973
| 4,096
| 14,336
| 3.5
| 2.316717
| 1.206078
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| true
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|
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| 1.306348
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| 64
| 10.530208
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| 12
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|
success
| 1.820954
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| 4,032
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| 0.271317
|
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170
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model.layers.24.mlp.up_proj
| 0.118981
| 4,096
| 14,336
| 3.5
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| 0.979006
|
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| 0.336656
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| 7.346503
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| 14
| 4,032
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success
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| 4,032
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| 0.281906
|
|
171
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model.layers.24.self_attn.k_proj
| 0.137641
| 1,024
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| 4
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| -1.39476
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| 0.669113
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| 17
| 960
| 1
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success
| 0.34708
| 0.000002
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| 960
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|
172
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model.layers.24.self_attn.o_proj
| 0.121796
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| -1.516867
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| 2.149487
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| 11
| 4,032
| 1
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| 6.75342
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success
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| 4,032
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173
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model.layers.24.self_attn.q_proj
| 0.116849
| 4,096
| 4,096
| 1
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| -0.363221
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| true
| 0.674892
|
dense
| -0.170545
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| 64
| 2.472066
| 4,096
| 11
| 4,032
| 1
| 0.339809
| 0.674892
| 3.662903
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success
| 0.821518
| 0
| 4,032
| 0.674892
| 0.057734
|
|
174
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model.layers.24.self_attn.v_proj
| 0.129029
| 1,024
| 4,096
| 4
| 2.129922
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| true
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dense
| -1.850581
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| 64
| 0.530828
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| 16
| 960
| 1
| 0.282481
| 0.085053
| 6.241163
|
success
| 0.291638
| 0.000002
| 960
| 0.085053
| 0.009003
|
|
175
|
model.layers.25.mlp.down_proj
| 0.105713
| 4,096
| 14,336
| 3.5
| 2.85188
| -0.323161
| 1.255649
| true
| 0.770344
|
dense
| -0.07539
| 0.646843
| -0.113315
| 64
| 4.434486
| 4,096
| 13
| 4,032
| 1
| 0.513619
| 0.770344
| 5.756498
|
success
| 0.877693
| 0.000002
| 4,032
| 0.770344
| 0.154021
|
|
176
|
model.layers.25.mlp.gate_proj
| 0.069561
| 4,096
| 14,336
| 3.5
| 2.350949
| 1.589706
| 1.109686
| true
| 4.744578
|
dense
| 1.611528
| 1.019893
| 0.676198
| 64
| 10.468697
| 4,096
| 14
| 4,032
| 1
| 0.361056
| 4.744578
| 2.206455
|
success
| 2.178205
| 0.000003
| 4,032
| 4.744578
| 0.206881
|
|
177
|
model.layers.25.mlp.up_proj
| 0.15032
| 4,096
| 14,336
| 3.5
| 5.763207
| 0.004806
| 1.254436
| true
| 1.001922
|
dense
| 0.112287
| 0.861523
| 0.000834
| 64
| 7.269807
| 4,096
| 5
| 4,032
| 1
| 2.130171
| 1.001922
| 7.255862
|
success
| 1.00096
| 0.000003
| 4,032
| 1.001922
| 0.533466
|
|
178
|
model.layers.25.self_attn.k_proj
| 0.144007
| 1,024
| 4,096
| 4
| 1.998126
| -2.03634
| 0.914757
| true
| 0.095692
|
dense
| -1.625756
| -0.233395
| -1.019125
| 64
| 0.584258
| 1,024
| 17
| 960
| 1
| 0.242081
| 0.095692
| 6.105623
|
success
| 0.309341
| 0.000001
|
over-trained
| 960
| 0.095692
| 0.007753
|
179
|
model.layers.25.self_attn.o_proj
| 0.093961
| 4,096
| 4,096
| 1
| 3.637802
| -1.868067
| 1.274864
| true
| 0.306538
|
dense
| -1.728484
| 0.25656
| -0.513515
| 64
| 1.805345
| 4,096
| 9
| 4,032
| 1
| 0.879267
| 0.306538
| 5.889459
|
success
| 0.553659
| 0
| 4,032
| 0.306538
| 0.088987
|
|
180
|
model.layers.25.self_attn.q_proj
| 0.086197
| 4,096
| 4,096
| 1
| 1.80462
| -0.095304
| 1.152994
| true
| 0.885501
|
dense
| 0.063364
| 0.382037
| -0.052811
| 64
| 2.410109
| 4,096
| 17
| 4,032
| 1
| 0.195149
| 0.885501
| 2.721746
|
success
| 0.941011
| 0
|
over-trained
| 4,032
| 0.885501
| 0.019111
|
181
|
model.layers.25.self_attn.v_proj
| 0.090123
| 1,024
| 4,096
| 4
| 2.294557
| -2.036341
| 0.869857
| true
| 0.129579
|
dense
| -1.905706
| -0.294062
| -0.887466
| 64
| 0.508087
| 1,024
| 13
| 960
| 1
| 0.359045
| 0.129579
| 3.921064
|
success
| 0.359971
| 0.000001
| 960
| 0.129579
| 0.010466
|
|
182
|
model.layers.26.mlp.down_proj
| 0.120553
| 4,096
| 14,336
| 3.5
| 2.723654
| -0.262714
| 1.251983
| true
| 0.800836
|
dense
| 0.015633
| 0.663817
| -0.096457
| 64
| 4.61123
| 4,096
| 11
| 4,032
| 1
| 0.519701
| 0.800836
| 5.758023
|
success
| 0.894894
| 0.000002
| 4,032
| 0.800836
| 0.171132
|
|
183
|
model.layers.26.mlp.gate_proj
| 0.091337
| 4,096
| 14,336
| 3.5
| 2.344174
| 1.351013
| 1.151821
| true
| 3.769882
|
dense
| 1.414824
| 1.020362
| 0.576328
| 64
| 10.480022
| 4,096
| 13
| 4,032
| 1
| 0.372807
| 3.769882
| 2.779934
|
success
| 1.941618
| 0.000003
| 4,032
| 3.769882
| 0.244311
|
|
184
|
model.layers.26.mlp.up_proj
| 0.086812
| 4,096
| 14,336
| 3.5
| 4.392035
| 0.242671
| 1.251431
| true
| 1.135671
|
dense
| 0.37363
| 0.87386
| 0.055253
| 64
| 7.479284
| 4,096
| 8
| 4,032
| 1
| 1.199265
| 1.135671
| 6.585783
|
success
| 1.065679
| 0.000003
| 4,032
| 1.135671
| 0.433704
|
|
185
|
model.layers.26.self_attn.k_proj
| 0.106872
| 1,024
| 4,096
| 4
| 2.051858
| -1.892762
| 0.875378
| true
| 0.119547
|
dense
| -1.512787
| -0.200754
| -0.922463
| 64
| 0.629864
| 1,024
| 13
| 960
| 1
| 0.291733
| 0.119547
| 5.268767
|
success
| 0.345755
| 0.000002
| 960
| 0.119547
| 0.010768
|
|
186
|
model.layers.26.self_attn.o_proj
| 0.134184
| 4,096
| 4,096
| 1
| 2.441189
| -1.539896
| 1.275169
| true
| 0.233993
|
dense
| -0.939815
| 0.274651
| -0.630798
| 64
| 1.882136
| 4,096
| 15
| 4,032
| 1
| 0.372113
| 0.233993
| 8.04357
|
success
| 0.483728
| 0
| 4,032
| 0.233993
| 0.050972
|
|
187
|
model.layers.26.self_attn.q_proj
| 0.098903
| 4,096
| 4,096
| 1
| 1.94625
| -0.172653
| 1.172286
| true
| 0.815248
|
dense
| 0.02072
| 0.408872
| -0.088711
| 64
| 2.563731
| 4,096
| 13
| 4,032
| 1
| 0.262442
| 0.815248
| 3.144727
|
success
| 0.902911
| 0
|
over-trained
| 4,032
| 0.815248
| 0.037628
|
188
|
model.layers.26.self_attn.v_proj
| 0.177327
| 1,024
| 4,096
| 4
| 2.084277
| -2.452292
| 0.921592
| true
| 0.066594
|
dense
| -1.958116
| -0.316788
| -1.176567
| 64
| 0.482183
| 1,024
| 18
| 960
| 1
| 0.255566
| 0.066594
| 7.240673
|
success
| 0.258057
| 0.000002
| 960
| 0.066594
| 0.00719
|
|
189
|
model.layers.27.mlp.down_proj
| 0.086935
| 4,096
| 14,336
| 3.5
| 3.157849
| 0.028879
| 1.237124
| true
| 1.021281
|
dense
| 0.10386
| 0.642767
| 0.009145
| 64
| 4.393056
| 4,096
| 9
| 4,032
| 1
| 0.719283
| 1.021281
| 4.301516
|
success
| 1.010584
| 0.000002
| 4,032
| 1.021281
| 0.199568
|
|
190
|
model.layers.27.mlp.gate_proj
| 0.084258
| 4,096
| 14,336
| 3.5
| 2.359513
| 1.042495
| 1.188402
| true
| 2.765834
|
dense
| 1.179609
| 0.995663
| 0.441826
| 64
| 9.900623
| 4,096
| 13
| 4,032
| 1
| 0.377061
| 2.765834
| 3.579616
|
success
| 1.66308
| 0.000003
| 4,032
| 2.765834
| 0.257194
|
|
191
|
model.layers.27.mlp.up_proj
| 0.11716
| 4,096
| 14,336
| 3.5
| 4.703075
| 0.266932
| 1.251003
| true
| 1.139612
|
dense
| 0.392874
| 0.884432
| 0.056757
| 64
| 7.663578
| 4,096
| 6
| 4,032
| 1
| 1.511774
| 1.139612
| 6.724727
|
success
| 1.067526
| 0.000003
| 4,032
| 1.139612
| 0.511535
|
|
192
|
model.layers.27.self_attn.k_proj
| 0.137354
| 1,024
| 4,096
| 4
| 1.939668
| -1.521124
| 0.858189
| true
| 0.164354
|
dense
| -1.267935
| -0.15881
| -0.784219
| 64
| 0.693729
| 1,024
| 16
| 960
| 1
| 0.234917
| 0.164354
| 4.220938
|
success
| 0.405406
| 0.000001
|
over-trained
| 960
| 0.164354
| 0.008371
|
193
|
model.layers.27.self_attn.o_proj
| 0.166313
| 4,096
| 4,096
| 1
| 3.98469
| -1.885441
| 1.259974
| true
| 0.336379
|
dense
| -1.686147
| 0.31561
| -0.473171
| 64
| 2.068284
| 4,096
| 6
| 4,032
| 1
| 1.218495
| 0.336379
| 6.148673
|
success
| 0.579982
| 0
| 4,032
| 0.336379
| 0.139734
|
|
194
|
model.layers.27.self_attn.q_proj
| 0.098414
| 4,096
| 4,096
| 1
| 2.087291
| -0.006988
| 1.15901
| true
| 0.992321
|
dense
| 0.10856
| 0.438895
| -0.003348
| 64
| 2.747227
| 4,096
| 9
| 4,032
| 1
| 0.36243
| 0.992321
| 2.768487
|
success
| 0.996153
| 0
| 4,032
| 0.992321
| 0.065965
|
|
195
|
model.layers.27.self_attn.v_proj
| 0.09186
| 1,024
| 4,096
| 4
| 2.089776
| -2.143677
| 0.886055
| true
| 0.094234
|
dense
| -1.708897
| -0.236603
| -1.025793
| 64
| 0.579959
| 1,024
| 17
| 960
| 1
| 0.26431
| 0.094234
| 6.154463
|
success
| 0.306975
| 0.000002
| 960
| 0.094234
| 0.008735
|
|
196
|
model.layers.28.mlp.down_proj
| 0.097772
| 4,096
| 14,336
| 3.5
| 2.722751
| -0.225053
| 1.245679
| true
| 0.826692
|
dense
| -0.029104
| 0.609328
| -0.082656
| 64
| 4.067506
| 4,096
| 12
| 4,032
| 1
| 0.497315
| 0.826692
| 4.920221
|
success
| 0.909226
| 0.000002
| 4,032
| 0.826692
| 0.137727
|
|
197
|
model.layers.28.mlp.gate_proj
| 0.106238
| 4,096
| 14,336
| 3.5
| 2.577398
| 1.451249
| 1.149888
| true
| 3.656516
|
dense
| 1.502734
| 1.011697
| 0.563067
| 64
| 10.272995
| 4,096
| 7
| 4,032
| 1
| 0.5962
| 3.656516
| 2.809504
|
success
| 1.912202
| 0.000003
| 4,032
| 3.656516
| 0.449288
|
|
198
|
model.layers.28.mlp.up_proj
| 0.110544
| 4,096
| 14,336
| 3.5
| 3.220158
| 0.687891
| 1.226926
| true
| 1.635386
|
dense
| 0.800185
| 0.888572
| 0.21362
| 64
| 7.73698
| 4,096
| 8
| 4,032
| 1
| 0.784945
| 1.635386
| 4.73098
|
success
| 1.278822
| 0.000003
| 4,032
| 1.635386
| 0.388154
|
|
199
|
model.layers.28.self_attn.k_proj
| 0.148201
| 1,024
| 4,096
| 4
| 2.014589
| -2.02633
| 0.901159
| true
| 0.098667
|
dense
| -1.595166
| -0.213194
| -1.005828
| 64
| 0.612077
| 1,024
| 17
| 960
| 1
| 0.246074
| 0.098667
| 6.203452
|
success
| 0.314113
| 0.000001
| 960
| 0.098667
| 0.008508
|
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