Dataset Viewer
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
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0
|
model.layers.0.mlp.down_proj
| 0.052897
| 4,096
| 14,336
| 3.5
| 2.677719
| -3.456077
| 1.488533
| true
| 0.051206
|
dense
| -3.261402
| -0.390622
| -1.29068
| 64
| 0.406797
| 4,096
| 26
| 4,032
| 1
| 0.329028
| 0.051206
| 7.944337
|
success
| 0.226287
| 0.000001
| 4,032
| 0.051206
| 0.004364
|
|
1
|
model.layers.0.mlp.gate_proj
| 0.06163
| 4,096
| 14,336
| 3.5
| 2.547375
| -2.586054
| 1.457833
| true
| 0.096564
|
dense
| -2.50109
| -0.26605
| -1.015184
| 64
| 0.541939
| 4,096
| 29
| 4,032
| 1
| 0.28734
| 0.096564
| 5.612213
|
success
| 0.310748
| 0.000001
| 4,032
| 0.096564
| 0.005125
|
|
2
|
model.layers.0.mlp.up_proj
| 0.067622
| 4,096
| 14,336
| 3.5
| 2.495929
| -2.590564
| 1.45299
| true
| 0.09164
|
dense
| -2.473998
| -0.271746
| -1.037916
| 64
| 0.534877
| 4,096
| 34
| 4,032
| 1
| 0.25655
| 0.09164
| 5.836728
|
success
| 0.302721
| 0.000001
| 4,032
| 0.09164
| 0.004495
|
|
3
|
model.layers.0.self_attn.k_proj
| 0.081234
| 1,024
| 4,096
| 4
| 3.123636
| -3.951471
| 1.003636
| true
| 0.054322
|
dense
| -3.861217
| -0.531794
| -1.265023
| 64
| 0.293905
| 1,024
| 64
| 960
| 1
| 0.265454
| 0.054322
| 5.410403
|
success
| 0.233071
| 0.000001
| 960
| 0.054322
| 0.002011
|
|
4
|
model.layers.0.self_attn.o_proj
| 0.059503
| 4,096
| 4,096
| 1
| 2.024146
| -2.355433
| 1.318973
| true
| 0.068601
|
dense
| -2.190306
| -0.589637
| -1.163668
| 64
| 0.257254
| 4,096
| 30
| 4,032
| 1
| 0.186983
| 0.068601
| 3.749991
|
success
| 0.261919
| 0
| 4,032
| 0.068601
| 0.001346
|
|
5
|
model.layers.0.self_attn.q_proj
| 0.071362
| 4,096
| 4,096
| 1
| 2.232562
| -2.12743
| 1.414472
| true
| 0.111453
|
dense
| -2.032254
| -0.308862
| -0.95291
| 64
| 0.491064
| 4,096
| 18
| 4,032
| 1
| 0.290518
| 0.111453
| 4.406033
|
success
| 0.333845
| 0
| 4,032
| 0.111453
| 0.004887
|
|
6
|
model.layers.0.self_attn.v_proj
| 0.077723
| 1,024
| 4,096
| 4
| 2.064591
| -3.133218
| 0.918566
| true
| 0.030367
|
dense
| -3.043222
| -0.983914
| -1.517598
| 64
| 0.103773
| 1,024
| 17
| 960
| 1
| 0.258201
| 0.030367
| 3.417306
|
success
| 0.174261
| 0.000001
| 960
| 0.030367
| 0.000892
|
|
7
|
model.layers.1.mlp.down_proj
| 0.064719
| 4,096
| 14,336
| 3.5
| 3.166249
| -4.832687
| 1.524829
| true
| 0.029764
|
dense
| -4.576148
| -0.452895
| -1.526313
| 64
| 0.352456
| 4,096
| 24
| 4,032
| 1
| 0.442184
| 0.029764
| 11.84182
|
success
| 0.172522
| 0.000001
| 4,032
| 0.029764
| 0.004417
|
|
8
|
model.layers.1.mlp.gate_proj
| 0.085658
| 4,096
| 14,336
| 3.5
| 2.889781
| -4.001024
| 1.503489
| true
| 0.041253
|
dense
| -3.746318
| -0.390278
| -1.384542
| 64
| 0.40712
| 4,096
| 28
| 4,032
| 1
| 0.357135
| 0.041253
| 9.868801
|
success
| 0.203109
| 0.000001
| 4,032
| 0.041253
| 0.0044
|
|
9
|
model.layers.1.mlp.up_proj
| 0.104817
| 4,096
| 14,336
| 3.5
| 2.726057
| -3.817446
| 1.498305
| true
| 0.039778
|
dense
| -3.449987
| -0.381046
| -1.400355
| 64
| 0.415866
| 4,096
| 24
| 4,032
| 1
| 0.35233
| 0.039778
| 10.454619
|
success
| 0.199445
| 0.000001
| 4,032
| 0.039778
| 0.004627
|
|
10
|
model.layers.1.self_attn.k_proj
| 0.07634
| 1,024
| 4,096
| 4
| 2.42049
| -3.081766
| 1.022545
| true
| 0.053309
|
dense
| -2.961904
| -0.531019
| -1.273199
| 64
| 0.29443
| 1,024
| 16
| 960
| 1
| 0.355122
| 0.053309
| 5.523074
|
success
| 0.230887
| 0.000001
| 960
| 0.053309
| 0.003529
|
|
11
|
model.layers.1.self_attn.o_proj
| 0.047832
| 4,096
| 4,096
| 1
| 2.456333
| -3.962271
| 1.454103
| true
| 0.024373
|
dense
| -3.674764
| -0.75138
| -1.613084
| 64
| 0.177264
| 4,096
| 35
| 4,032
| 1
| 0.246165
| 0.024373
| 7.272831
|
success
| 0.15612
| 0
| 4,032
| 0.024373
| 0.001432
|
|
12
|
model.layers.1.self_attn.q_proj
| 0.040733
| 4,096
| 4,096
| 1
| 2.347499
| -1.631893
| 1.372005
| true
| 0.201761
|
dense
| -1.596231
| -0.160934
| -0.695162
| 64
| 0.690344
| 4,096
| 26
| 4,032
| 1
| 0.264266
| 0.201761
| 3.421591
|
success
| 0.449178
| 0
| 4,032
| 0.201761
| 0.005533
|
|
13
|
model.layers.1.self_attn.v_proj
| 0.076101
| 1,024
| 4,096
| 4
| 2.199378
| -2.759386
| 0.769733
| true
| 0.055639
|
dense
| -2.754431
| -0.964904
| -1.254621
| 64
| 0.108417
| 1,024
| 12
| 960
| 1
| 0.346231
| 0.055639
| 1.948576
|
success
| 0.235879
| 0.000001
| 960
| 0.055639
| 0.000913
|
|
14
|
model.layers.2.mlp.down_proj
| 0.087654
| 4,096
| 14,336
| 3.5
| 2.953663
| -4.509285
| 1.520652
| true
| 0.029739
|
dense
| -4.330108
| -0.516344
| -1.526675
| 64
| 0.304548
| 4,096
| 21
| 4,032
| 1
| 0.426324
| 0.029739
| 10.240739
|
success
| 0.17245
| 0.000001
| 4,032
| 0.029739
| 0.003887
|
|
15
|
model.layers.2.mlp.gate_proj
| 0.068122
| 4,096
| 14,336
| 3.5
| 2.794675
| -3.954023
| 1.497494
| true
| 0.038473
|
dense
| -3.703116
| -0.448609
| -1.414842
| 64
| 0.355952
| 4,096
| 28
| 4,032
| 1
| 0.339162
| 0.038473
| 9.251945
|
success
| 0.196146
| 0.000001
| 4,032
| 0.038473
| 0.003766
|
|
16
|
model.layers.2.mlp.up_proj
| 0.083981
| 4,096
| 14,336
| 3.5
| 2.632966
| -3.601815
| 1.483391
| true
| 0.042858
|
dense
| -3.368448
| -0.45853
| -1.367969
| 64
| 0.347913
| 4,096
| 27
| 4,032
| 1
| 0.314264
| 0.042858
| 8.117814
|
success
| 0.207022
| 0.000001
| 4,032
| 0.042858
| 0.003515
|
|
17
|
model.layers.2.self_attn.k_proj
| 0.144103
| 1,024
| 4,096
| 4
| 5.325873
| -8.750114
| 1.074845
| true
| 0.022754
|
dense
| -8.74541
| -0.788276
| -1.642945
| 64
| 0.162826
| 1,024
| 64
| 960
| 1
| 0.540734
| 0.022754
| 7.155963
|
success
| 0.150844
| 0.000001
| 960
| 0.022754
| 0.001726
|
|
18
|
model.layers.2.self_attn.o_proj
| 0.053145
| 4,096
| 4,096
| 1
| 2.562537
| -4.087537
| 1.438093
| true
| 0.025403
|
dense
| -3.999081
| -0.885766
| -1.595113
| 64
| 0.130087
| 4,096
| 31
| 4,032
| 1
| 0.28064
| 0.025403
| 5.120908
|
success
| 0.159383
| 0
| 4,032
| 0.025403
| 0.001113
|
|
19
|
model.layers.2.self_attn.q_proj
| 0.068557
| 4,096
| 4,096
| 1
| 3.245647
| -5.122339
| 1.513713
| true
| 0.026411
|
dense
| -4.95726
| -0.597474
| -1.578218
| 64
| 0.252654
| 4,096
| 27
| 4,032
| 1
| 0.432175
| 0.026411
| 9.566302
|
success
| 0.162514
| 0
| 4,032
| 0.026411
| 0.002975
|
|
20
|
model.layers.2.self_attn.v_proj
| 0.074834
| 1,024
| 4,096
| 4
| 2.862386
| -6.276086
| 1.069041
| true
| 0.006418
|
dense
| -6.222477
| -1.363557
| -2.192607
| 64
| 0.043296
| 1,024
| 17
| 960
| 1
| 0.451695
| 0.006418
| 6.746058
|
success
| 0.080112
| 0.000001
| 960
| 0.006418
| 0.00055
|
|
21
|
model.layers.3.mlp.down_proj
| 0.083451
| 4,096
| 14,336
| 3.5
| 3.073457
| -4.79474
| 1.522787
| true
| 0.027539
|
dense
| -4.615598
| -0.534599
| -1.560048
| 64
| 0.292012
| 4,096
| 22
| 4,032
| 1
| 0.442063
| 0.027539
| 10.60348
|
success
| 0.16595
| 0.000001
| 4,032
| 0.027539
| 0.003667
|
|
22
|
model.layers.3.mlp.gate_proj
| 0.088245
| 4,096
| 14,336
| 3.5
| 3.076395
| -4.664228
| 1.514846
| true
| 0.03047
|
dense
| -4.428282
| -0.476946
| -1.516134
| 64
| 0.333468
| 4,096
| 32
| 4,032
| 1
| 0.367058
| 0.03047
| 10.944314
|
success
| 0.174555
| 0.000001
| 4,032
| 0.03047
| 0.003589
|
|
23
|
model.layers.3.mlp.up_proj
| 0.107826
| 4,096
| 14,336
| 3.5
| 2.699548
| -3.904319
| 1.5027
| true
| 0.035786
|
dense
| -3.679445
| -0.484377
| -1.446286
| 64
| 0.327811
| 4,096
| 21
| 4,032
| 1
| 0.370872
| 0.035786
| 9.160287
|
success
| 0.189172
| 0.000001
| 4,032
| 0.035786
| 0.003935
|
|
24
|
model.layers.3.self_attn.k_proj
| 0.114861
| 1,024
| 4,096
| 4
| 2.347158
| -3.257596
| 1.031844
| true
| 0.040936
|
dense
| -3.199793
| -0.706221
| -1.38789
| 64
| 0.196689
| 1,024
| 8
| 960
| 1
| 0.476292
| 0.040936
| 4.804727
|
success
| 0.202328
| 0.000001
| 960
| 0.040936
| 0.002814
|
|
25
|
model.layers.3.self_attn.o_proj
| 0.053945
| 4,096
| 4,096
| 1
| 2.784179
| -4.747886
| 1.478179
| true
| 0.01971
|
dense
| -4.662831
| -0.906983
| -1.705309
| 64
| 0.123884
| 4,096
| 23
| 4,032
| 1
| 0.372027
| 0.01971
| 6.285302
|
success
| 0.140393
| 0
| 4,032
| 0.01971
| 0.001391
|
|
26
|
model.layers.3.self_attn.q_proj
| 0.074233
| 4,096
| 4,096
| 1
| 2.802199
| -3.856473
| 1.489978
| true
| 0.04205
|
dense
| -3.66984
| -0.456454
| -1.376231
| 64
| 0.34958
| 4,096
| 33
| 4,032
| 1
| 0.313723
| 0.04205
| 8.313359
|
success
| 0.205062
| 0
| 4,032
| 0.04205
| 0.003464
|
|
27
|
model.layers.3.self_attn.v_proj
| 0.077611
| 1,024
| 4,096
| 4
| 2.931664
| -6.616693
| 1.084328
| true
| 0.005534
|
dense
| -6.554824
| -1.373657
| -2.256975
| 64
| 0.0423
| 1,024
| 12
| 960
| 1
| 0.557623
| 0.005534
| 7.64396
|
success
| 0.07439
| 0.000001
| 960
| 0.005534
| 0.000605
|
|
28
|
model.layers.4.mlp.down_proj
| 0.073888
| 4,096
| 14,336
| 3.5
| 3.095705
| -4.439551
| 1.505269
| true
| 0.036804
|
dense
| -4.391367
| -0.569872
| -1.4341
| 64
| 0.269233
| 4,096
| 25
| 4,032
| 1
| 0.419141
| 0.036804
| 7.315219
|
success
| 0.191845
| 0.000001
| 4,032
| 0.036804
| 0.003111
|
|
29
|
model.layers.4.mlp.gate_proj
| 0.096931
| 4,096
| 14,336
| 3.5
| 2.943779
| -4.451378
| 1.517809
| true
| 0.030752
|
dense
| -4.217382
| -0.478373
| -1.512131
| 64
| 0.332374
| 4,096
| 25
| 4,032
| 1
| 0.388756
| 0.030752
| 10.808311
|
success
| 0.175362
| 0.000001
| 4,032
| 0.030752
| 0.003887
|
|
30
|
model.layers.4.mlp.up_proj
| 0.083876
| 4,096
| 14,336
| 3.5
| 2.721092
| -3.737681
| 1.491075
| true
| 0.042306
|
dense
| -3.624831
| -0.515658
| -1.373596
| 64
| 0.305029
| 4,096
| 22
| 4,032
| 1
| 0.366938
| 0.042306
| 7.21004
|
success
| 0.205685
| 0.000001
| 4,032
| 0.042306
| 0.003489
|
|
31
|
model.layers.4.self_attn.k_proj
| 0.104467
| 1,024
| 4,096
| 4
| 3.135139
| -5.976866
| 1.100359
| true
| 0.012405
|
dense
| -5.860833
| -0.897017
| -1.906412
| 64
| 0.12676
| 1,024
| 12
| 960
| 1
| 0.616362
| 0.012405
| 10.218679
|
success
| 0.111377
| 0.000001
| 960
| 0.012405
| 0.001908
|
|
32
|
model.layers.4.self_attn.o_proj
| 0.070967
| 4,096
| 4,096
| 1
| 2.843256
| -4.698893
| 1.450936
| true
| 0.022251
|
dense
| -4.67105
| -0.976651
| -1.652645
| 64
| 0.105523
| 4,096
| 23
| 4,032
| 1
| 0.384346
| 0.022251
| 4.742352
|
success
| 0.149169
| 0
| 4,032
| 0.022251
| 0.001125
|
|
33
|
model.layers.4.self_attn.q_proj
| 0.064561
| 4,096
| 4,096
| 1
| 3.171323
| -5.389224
| 1.515203
| true
| 0.019982
|
dense
| -5.029191
| -0.61956
| -1.699361
| 64
| 0.240127
| 4,096
| 33
| 4,032
| 1
| 0.377979
| 0.019982
| 12.017151
|
success
| 0.141358
| 0
| 4,032
| 0.019982
| 0.002645
|
|
34
|
model.layers.4.self_attn.v_proj
| 0.100189
| 1,024
| 4,096
| 4
| 2.517159
| -5.668791
| 1.079474
| true
| 0.005597
|
dense
| -5.568282
| -1.396234
| -2.25206
| 64
| 0.040157
| 1,024
| 8
| 960
| 1
| 0.536397
| 0.005597
| 7.175061
|
success
| 0.074812
| 0.000001
| 960
| 0.005597
| 0.000613
|
|
35
|
model.layers.5.mlp.down_proj
| 0.068227
| 4,096
| 14,336
| 3.5
| 2.857705
| -4.089038
| 1.503931
| true
| 0.037078
|
dense
| -4.030817
| -0.584083
| -1.430882
| 64
| 0.260565
| 4,096
| 16
| 4,032
| 1
| 0.464426
| 0.037078
| 7.027461
|
success
| 0.192557
| 0.000001
| 4,032
| 0.037078
| 0.003474
|
|
36
|
model.layers.5.mlp.gate_proj
| 0.08291
| 4,096
| 14,336
| 3.5
| 3.031947
| -4.701401
| 1.526677
| true
| 0.028144
|
dense
| -4.460686
| -0.47992
| -1.550621
| 64
| 0.331192
| 4,096
| 20
| 4,032
| 1
| 0.454357
| 0.028144
| 11.767975
|
success
| 0.16776
| 0.000001
| 4,032
| 0.028144
| 0.004329
|
|
37
|
model.layers.5.mlp.up_proj
| 0.08546
| 4,096
| 14,336
| 3.5
| 2.778091
| -3.848164
| 1.49447
| true
| 0.041192
|
dense
| -3.75802
| -0.534364
| -1.385183
| 64
| 0.29217
| 4,096
| 22
| 4,032
| 1
| 0.37909
| 0.041192
| 7.092812
|
success
| 0.202959
| 0.000001
| 4,032
| 0.041192
| 0.003339
|
|
38
|
model.layers.5.self_attn.k_proj
| 0.107691
| 1,024
| 4,096
| 4
| 2.688029
| -4.948406
| 1.094828
| true
| 0.014424
|
dense
| -4.833602
| -0.906374
| -1.840905
| 64
| 0.124058
| 1,024
| 8
| 960
| 1
| 0.596808
| 0.014424
| 8.600653
|
success
| 0.120101
| 0.000001
| 960
| 0.014424
| 0.001872
|
|
39
|
model.layers.5.self_attn.o_proj
| 0.122563
| 4,096
| 4,096
| 1
| 2.618946
| -4.492254
| 1.475117
| true
| 0.019262
|
dense
| -4.436765
| -0.970445
| -1.715291
| 64
| 0.107042
| 4,096
| 13
| 4,032
| 1
| 0.449015
| 0.019262
| 5.557077
|
success
| 0.138789
| 0
| 4,032
| 0.019262
| 0.001453
|
|
40
|
model.layers.5.self_attn.q_proj
| 0.063356
| 4,096
| 4,096
| 1
| 3.55331
| -6.197344
| 1.53308
| true
| 0.018026
|
dense
| -6.054521
| -0.676972
| -1.744104
| 64
| 0.210392
| 4,096
| 23
| 4,032
| 1
| 0.532402
| 0.018026
| 11.671661
|
success
| 0.13426
| 0
| 4,032
| 0.018026
| 0.002775
|
|
41
|
model.layers.5.self_attn.v_proj
| 0.115764
| 1,024
| 4,096
| 4
| 2.647311
| -6.116906
| 1.086778
| true
| 0.004891
|
dense
| -5.990173
| -1.397493
| -2.310611
| 64
| 0.040041
| 1,024
| 9
| 960
| 1
| 0.549104
| 0.004891
| 8.186871
|
success
| 0.069935
| 0.000001
| 960
| 0.004891
| 0.000592
|
|
42
|
model.layers.6.mlp.down_proj
| 0.063407
| 4,096
| 14,336
| 3.5
| 2.8953
| -4.088001
| 1.500252
| true
| 0.038731
|
dense
| -4.040085
| -0.582365
| -1.411944
| 64
| 0.261598
| 4,096
| 21
| 4,032
| 1
| 0.413588
| 0.038731
| 6.754276
|
success
| 0.196801
| 0.000001
| 4,032
| 0.038731
| 0.003113
|
|
43
|
model.layers.6.mlp.gate_proj
| 0.068424
| 4,096
| 14,336
| 3.5
| 2.867297
| -4.338855
| 1.52398
| true
| 0.030675
|
dense
| -4.113379
| -0.478413
| -1.513222
| 64
| 0.332344
| 4,096
| 19
| 4,032
| 1
| 0.428387
| 0.030675
| 10.834498
|
success
| 0.175142
| 0.000001
| 4,032
| 0.030675
| 0.004278
|
|
44
|
model.layers.6.mlp.up_proj
| 0.06568
| 4,096
| 14,336
| 3.5
| 2.65465
| -3.628529
| 1.488785
| true
| 0.042968
|
dense
| -3.535722
| -0.541657
| -1.366858
| 64
| 0.287305
| 4,096
| 21
| 4,032
| 1
| 0.361074
| 0.042968
| 6.68653
|
success
| 0.207287
| 0.000001
| 4,032
| 0.042968
| 0.003247
|
|
45
|
model.layers.6.self_attn.k_proj
| 0.107168
| 1,024
| 4,096
| 4
| 3.180479
| -6.081132
| 1.103667
| true
| 0.012246
|
dense
| -5.998892
| -0.912065
| -1.912018
| 64
| 0.122443
| 1,024
| 10
| 960
| 1
| 0.689528
| 0.012246
| 9.998901
|
success
| 0.11066
| 0.000001
| 960
| 0.012246
| 0.001901
|
|
46
|
model.layers.6.self_attn.o_proj
| 0.083761
| 4,096
| 4,096
| 1
| 2.793253
| -4.715604
| 1.45369
| true
| 0.020502
|
dense
| -4.684449
| -1.011275
| -1.688212
| 64
| 0.097437
| 4,096
| 18
| 4,032
| 1
| 0.422674
| 0.020502
| 4.752665
|
success
| 0.143184
| 0
| 4,032
| 0.020502
| 0.001114
|
|
47
|
model.layers.6.self_attn.q_proj
| 0.059729
| 4,096
| 4,096
| 1
| 3.488664
| -6.219897
| 1.529448
| true
| 0.016486
|
dense
| -5.980991
| -0.696511
| -1.782888
| 64
| 0.201136
| 4,096
| 27
| 4,032
| 1
| 0.478944
| 0.016486
| 12.200483
|
success
| 0.128397
| 0
| 4,032
| 0.016486
| 0.002489
|
|
48
|
model.layers.6.self_attn.v_proj
| 0.118223
| 1,024
| 4,096
| 4
| 2.76059
| -6.355218
| 1.085289
| true
| 0.004987
|
dense
| -6.287284
| -1.428893
| -2.302124
| 64
| 0.037248
| 1,024
| 8
| 960
| 1
| 0.622462
| 0.004987
| 7.468451
|
success
| 0.070622
| 0.000001
| 960
| 0.004987
| 0.000601
|
|
49
|
model.layers.7.mlp.down_proj
| 0.076932
| 4,096
| 14,336
| 3.5
| 2.909538
| -4.029174
| 1.494041
| true
| 0.041227
|
dense
| -3.992391
| -0.58818
| -1.384816
| 64
| 0.258119
| 4,096
| 19
| 4,032
| 1
| 0.438078
| 0.041227
| 6.260892
|
success
| 0.203045
| 0.000001
| 4,032
| 0.041227
| 0.003141
|
|
50
|
model.layers.7.mlp.gate_proj
| 0.075642
| 4,096
| 14,336
| 3.5
| 2.8637
| -4.388342
| 1.528604
| true
| 0.029349
|
dense
| -4.1344
| -0.467785
| -1.532403
| 64
| 0.340577
| 4,096
| 16
| 4,032
| 1
| 0.465925
| 0.029349
| 11.60428
|
success
| 0.171316
| 0.000001
| 4,032
| 0.029349
| 0.004747
|
|
51
|
model.layers.7.mlp.up_proj
| 0.075565
| 4,096
| 14,336
| 3.5
| 2.645595
| -3.624205
| 1.491818
| true
| 0.042668
|
dense
| -3.534071
| -0.541343
| -1.369902
| 64
| 0.287512
| 4,096
| 18
| 4,032
| 1
| 0.38787
| 0.042668
| 6.738426
|
success
| 0.206561
| 0.000001
| 4,032
| 0.042668
| 0.003534
|
|
52
|
model.layers.7.self_attn.k_proj
| 0.075297
| 1,024
| 4,096
| 4
| 5.854554
| -11.795797
| 1.117029
| true
| 0.009665
|
dense
| -11.787982
| -0.897848
| -2.014807
| 64
| 0.126518
| 1,024
| 64
| 960
| 1
| 0.606819
| 0.009665
| 13.09058
|
success
| 0.09831
| 0.000001
| 960
| 0.009665
| 0.001517
|
|
53
|
model.layers.7.self_attn.o_proj
| 0.096781
| 4,096
| 4,096
| 1
| 2.43176
| -4.131487
| 1.463078
| true
| 0.02
|
dense
| -4.082821
| -1.014456
| -1.69897
| 64
| 0.096726
| 4,096
| 9
| 4,032
| 1
| 0.477253
| 0.02
| 4.836306
|
success
| 0.141421
| 0
| 4,032
| 0.02
| 0.001397
|
|
54
|
model.layers.7.self_attn.q_proj
| 0.115064
| 4,096
| 4,096
| 1
| 3.258742
| -6.096869
| 1.538012
| true
| 0.013461
|
dense
| -5.723896
| -0.697313
| -1.870927
| 64
| 0.200765
| 4,096
| 15
| 4,032
| 1
| 0.583205
| 0.013461
| 14.914696
|
success
| 0.116021
| 0
| 4,032
| 0.013461
| 0.00294
|
|
55
|
model.layers.7.self_attn.v_proj
| 0.130597
| 1,024
| 4,096
| 4
| 2.52747
| -5.850276
| 1.092207
| true
| 0.004845
|
dense
| -5.727162
| -1.403724
| -2.314677
| 64
| 0.039471
| 1,024
| 7
| 960
| 1
| 0.577329
| 0.004845
| 8.146166
|
success
| 0.069608
| 0.000001
| 960
| 0.004845
| 0.000611
|
|
56
|
model.layers.8.mlp.down_proj
| 0.073526
| 4,096
| 14,336
| 3.5
| 2.82947
| -3.75068
| 1.479343
| true
| 0.047252
|
dense
| -3.721924
| -0.587064
| -1.325577
| 64
| 0.258783
| 4,096
| 19
| 4,032
| 1
| 0.419709
| 0.047252
| 5.476626
|
success
| 0.217376
| 0.000001
| 4,032
| 0.047252
| 0.003003
|
|
57
|
model.layers.8.mlp.gate_proj
| 0.073727
| 4,096
| 14,336
| 3.5
| 2.940206
| -4.352934
| 1.523923
| true
| 0.033076
|
dense
| -4.157378
| -0.456073
| -1.480486
| 64
| 0.349886
| 4,096
| 19
| 4,032
| 1
| 0.445114
| 0.033076
| 10.578228
|
success
| 0.181868
| 0.000001
| 4,032
| 0.033076
| 0.00456
|
|
58
|
model.layers.8.mlp.up_proj
| 0.087432
| 4,096
| 14,336
| 3.5
| 2.616947
| -3.46615
| 1.481919
| true
| 0.047369
|
dense
| -3.387244
| -0.533119
| -1.324501
| 64
| 0.293009
| 4,096
| 19
| 4,032
| 1
| 0.370953
| 0.047369
| 6.185611
|
success
| 0.217645
| 0.000001
| 4,032
| 0.047369
| 0.003399
|
|
59
|
model.layers.8.self_attn.k_proj
| 0.1027
| 1,024
| 4,096
| 4
| 5.653809
| -11.045854
| 1.103938
| true
| 0.011125
|
dense
| -11.030598
| -0.935479
| -1.953701
| 64
| 0.116017
| 1,024
| 64
| 960
| 1
| 0.581726
| 0.011125
| 10.428518
|
success
| 0.105475
| 0.000001
| 960
| 0.011125
| 0.001336
|
|
60
|
model.layers.8.self_attn.o_proj
| 0.09223
| 4,096
| 4,096
| 1
| 2.461574
| -4.15559
| 1.454472
| true
| 0.020503
|
dense
| -4.108942
| -1.018538
| -1.688184
| 64
| 0.095821
| 4,096
| 10
| 4,032
| 1
| 0.46219
| 0.020503
| 4.673542
|
success
| 0.143188
| 0
| 4,032
| 0.020503
| 0.001352
|
|
61
|
model.layers.8.self_attn.q_proj
| 0.084565
| 4,096
| 4,096
| 1
| 3.152206
| -5.503796
| 1.522169
| true
| 0.017947
|
dense
| -5.27548
| -0.713958
| -1.746014
| 64
| 0.193216
| 4,096
| 18
| 4,032
| 1
| 0.50728
| 0.017947
| 10.766051
|
success
| 0.133965
| 0
| 4,032
| 0.017947
| 0.00263
|
|
62
|
model.layers.8.self_attn.v_proj
| 0.111446
| 1,024
| 4,096
| 4
| 2.77145
| -6.400331
| 1.088291
| true
| 0.004905
|
dense
| -6.323427
| -1.418579
| -2.30938
| 64
| 0.038144
| 1,024
| 8
| 960
| 1
| 0.626302
| 0.004905
| 7.7768
|
success
| 0.070034
| 0.000001
| 960
| 0.004905
| 0.000599
|
|
63
|
model.layers.9.mlp.down_proj
| 0.057908
| 4,096
| 14,336
| 3.5
| 2.742288
| -3.60653
| 1.476515
| true
| 0.0484
|
dense
| -3.575599
| -0.588558
| -1.315154
| 64
| 0.257895
| 4,096
| 16
| 4,032
| 1
| 0.435572
| 0.0484
| 5.328387
|
success
| 0.22
| 0.000001
| 4,032
| 0.0484
| 0.003219
|
|
64
|
model.layers.9.mlp.gate_proj
| 0.060009
| 4,096
| 14,336
| 3.5
| 2.898617
| -4.121823
| 1.515991
| true
| 0.037845
|
dense
| -3.977617
| -0.461977
| -1.421996
| 64
| 0.345162
| 4,096
| 17
| 4,032
| 1
| 0.460482
| 0.037845
| 9.120508
|
success
| 0.194537
| 0.000001
| 4,032
| 0.037845
| 0.004708
|
|
65
|
model.layers.9.mlp.up_proj
| 0.052531
| 4,096
| 14,336
| 3.5
| 2.673129
| -3.463093
| 1.477563
| true
| 0.050638
|
dense
| -3.404474
| -0.531199
| -1.29552
| 64
| 0.294307
| 4,096
| 21
| 4,032
| 1
| 0.365107
| 0.050638
| 5.811941
|
success
| 0.22503
| 0.000001
| 4,032
| 0.050638
| 0.003268
|
|
66
|
model.layers.9.self_attn.k_proj
| 0.060317
| 1,024
| 4,096
| 4
| 6.679092
| -15.305076
| 1.130864
| true
| 0.005111
|
dense
| -15.266985
| -0.937667
| -2.291491
| 64
| 0.115434
| 1,024
| 63
| 960
| 1
| 0.715498
| 0.005111
| 22.58519
|
success
| 0.071492
| 0.000001
|
under-trained
| 960
| 0.005111
| 0.001483
|
67
|
model.layers.9.self_attn.o_proj
| 0.089964
| 4,096
| 4,096
| 1
| 2.427394
| -4.082041
| 1.448539
| true
| 0.020813
|
dense
| -4.047767
| -1.042092
| -1.681656
| 64
| 0.090763
| 4,096
| 11
| 4,032
| 1
| 0.430375
| 0.020813
| 4.360779
|
success
| 0.144269
| 0
| 4,032
| 0.020813
| 0.001153
|
|
68
|
model.layers.9.self_attn.q_proj
| 0.08705
| 4,096
| 4,096
| 1
| 3.412095
| -6.577103
| 1.545219
| true
| 0.011814
|
dense
| -6.312881
| -0.747492
| -1.927585
| 64
| 0.178858
| 4,096
| 14
| 4,032
| 1
| 0.64466
| 0.011814
| 15.138855
|
success
| 0.108695
| 0
| 4,032
| 0.011814
| 0.002687
|
|
69
|
model.layers.9.self_attn.v_proj
| 0.09917
| 1,024
| 4,096
| 4
| 2.657595
| -6.158284
| 1.08253
| true
| 0.004817
|
dense
| -6.091413
| -1.466603
| -2.317239
| 64
| 0.034151
| 1,024
| 8
| 960
| 1
| 0.586048
| 0.004817
| 7.08984
|
success
| 0.069403
| 0.000001
| 960
| 0.004817
| 0.000531
|
|
70
|
model.layers.10.mlp.down_proj
| 0.057096
| 4,096
| 14,336
| 3.5
| 2.766404
| -3.423776
| 1.448927
| true
| 0.057859
|
dense
| -3.408703
| -0.598612
| -1.237627
| 64
| 0.251993
| 4,096
| 19
| 4,032
| 1
| 0.405241
| 0.057859
| 4.35527
|
success
| 0.24054
| 0.000001
| 4,032
| 0.057859
| 0.002774
|
|
71
|
model.layers.10.mlp.gate_proj
| 0.050086
| 4,096
| 14,336
| 3.5
| 2.870972
| -3.932424
| 1.504084
| true
| 0.042686
|
dense
| -3.820135
| -0.471952
| -1.369718
| 64
| 0.337325
| 4,096
| 21
| 4,032
| 1
| 0.40828
| 0.042686
| 7.902541
|
success
| 0.206605
| 0.000001
| 4,032
| 0.042686
| 0.004129
|
|
72
|
model.layers.10.mlp.up_proj
| 0.059118
| 4,096
| 14,336
| 3.5
| 2.54132
| -3.159267
| 1.457901
| true
| 0.057127
|
dense
| -3.113346
| -0.549877
| -1.24316
| 64
| 0.281918
| 4,096
| 17
| 4,032
| 1
| 0.373825
| 0.057127
| 4.93495
|
success
| 0.239012
| 0.000001
| 4,032
| 0.057127
| 0.003304
|
|
73
|
model.layers.10.self_attn.k_proj
| 0.079687
| 1,024
| 4,096
| 4
| 6.221469
| -13.191227
| 1.12411
| true
| 0.007581
|
dense
| -13.173883
| -0.904894
| -2.120275
| 64
| 0.124482
| 1,024
| 64
| 960
| 1
| 0.652684
| 0.007581
| 16.420292
|
success
| 0.087069
| 0.000001
|
under-trained
| 960
| 0.007581
| 0.001542
|
74
|
model.layers.10.self_attn.o_proj
| 0.104255
| 4,096
| 4,096
| 1
| 2.39271
| -3.957537
| 1.440596
| true
| 0.022182
|
dense
| -3.929246
| -1.042654
| -1.653998
| 64
| 0.090645
| 4,096
| 8
| 4,032
| 1
| 0.492397
| 0.022182
| 4.086422
|
success
| 0.148937
| 0
| 4,032
| 0.022182
| 0.001372
|
|
75
|
model.layers.10.self_attn.q_proj
| 0.102157
| 4,096
| 4,096
| 1
| 3.201262
| -5.802851
| 1.532303
| true
| 0.015393
|
dense
| -5.534375
| -0.723382
| -1.812676
| 64
| 0.189068
| 4,096
| 15
| 4,032
| 1
| 0.568363
| 0.015393
| 12.282715
|
success
| 0.124069
| 0
| 4,032
| 0.015393
| 0.002681
|
|
76
|
model.layers.10.self_attn.v_proj
| 0.085466
| 1,024
| 4,096
| 4
| 2.820915
| -6.457655
| 1.080996
| true
| 0.005138
|
dense
| -6.411704
| -1.448764
| -2.289206
| 64
| 0.035582
| 1,024
| 10
| 960
| 1
| 0.575824
| 0.005138
| 6.925353
|
success
| 0.07168
| 0.000001
| 960
| 0.005138
| 0.000503
|
|
77
|
model.layers.11.mlp.down_proj
| 0.080344
| 4,096
| 14,336
| 3.5
| 2.781667
| -3.513401
| 1.45523
| true
| 0.054569
|
dense
| -3.497021
| -0.608057
| -1.263056
| 64
| 0.246571
| 4,096
| 17
| 4,032
| 1
| 0.432118
| 0.054569
| 4.518544
|
success
| 0.2336
| 0.000001
| 4,032
| 0.054569
| 0.00289
|
|
78
|
model.layers.11.mlp.gate_proj
| 0.052737
| 4,096
| 14,336
| 3.5
| 2.832129
| -3.842099
| 1.504786
| true
| 0.043993
|
dense
| -3.741266
| -0.467105
| -1.356612
| 64
| 0.341111
| 4,096
| 16
| 4,032
| 1
| 0.458032
| 0.043993
| 7.753662
|
success
| 0.209746
| 0.000001
| 4,032
| 0.043993
| 0.004794
|
|
79
|
model.layers.11.mlp.up_proj
| 0.058418
| 4,096
| 14,336
| 3.5
| 2.744464
| -3.448862
| 1.465464
| true
| 0.055378
|
dense
| -3.415026
| -0.543832
| -1.256662
| 64
| 0.285869
| 4,096
| 23
| 4,032
| 1
| 0.363746
| 0.055378
| 5.162137
|
success
| 0.235326
| 0.000001
| 4,032
| 0.055378
| 0.003069
|
|
80
|
model.layers.11.self_attn.k_proj
| 0.050394
| 1,024
| 4,096
| 4
| 5.234028
| -11.270114
| 1.123817
| true
| 0.007027
|
dense
| -11.198865
| -0.902614
| -2.153239
| 64
| 0.125137
| 1,024
| 64
| 960
| 1
| 0.529253
| 0.007027
| 17.808403
|
success
| 0.083826
| 0.000001
| 960
| 0.007027
| 0.001477
|
|
81
|
model.layers.11.self_attn.o_proj
| 0.108526
| 4,096
| 4,096
| 1
| 2.377962
| -3.887587
| 1.429546
| true
| 0.023182
|
dense
| -3.861041
| -1.046776
| -1.63484
| 64
| 0.089789
| 4,096
| 8
| 4,032
| 1
| 0.487183
| 0.023182
| 3.873146
|
success
| 0.152258
| 0
| 4,032
| 0.023182
| 0.001305
|
|
82
|
model.layers.11.self_attn.q_proj
| 0.083963
| 4,096
| 4,096
| 1
| 3.071511
| -5.495301
| 1.52872
| true
| 0.016251
|
dense
| -5.23659
| -0.71646
| -1.78912
| 64
| 0.192106
| 4,096
| 16
| 4,032
| 1
| 0.517878
| 0.016251
| 11.821149
|
success
| 0.127479
| 0
| 4,032
| 0.016251
| 0.002715
|
|
83
|
model.layers.11.self_attn.v_proj
| 0.096823
| 1,024
| 4,096
| 4
| 2.730485
| -6.100362
| 1.070588
| true
| 0.005832
|
dense
| -6.065863
| -1.450516
| -2.234168
| 64
| 0.035439
| 1,024
| 9
| 960
| 1
| 0.576828
| 0.005832
| 6.076487
|
success
| 0.076369
| 0.000001
| 960
| 0.005832
| 0.000501
|
|
84
|
model.layers.12.mlp.down_proj
| 0.089923
| 4,096
| 14,336
| 3.5
| 2.833527
| -3.574279
| 1.452804
| true
| 0.054774
|
dense
| -3.559816
| -0.612318
| -1.261424
| 64
| 0.244164
| 4,096
| 18
| 4,032
| 1
| 0.432166
| 0.054774
| 4.457656
|
success
| 0.234039
| 0.000001
| 4,032
| 0.054774
| 0.002777
|
|
85
|
model.layers.12.mlp.gate_proj
| 0.053532
| 4,096
| 14,336
| 3.5
| 2.8049
| -3.764999
| 1.501889
| true
| 0.045468
|
dense
| -3.680067
| -0.478142
| -1.342294
| 64
| 0.332551
| 4,096
| 16
| 4,032
| 1
| 0.451225
| 0.045468
| 7.313938
|
success
| 0.213232
| 0.000001
| 4,032
| 0.045468
| 0.004557
|
|
86
|
model.layers.12.mlp.up_proj
| 0.055524
| 4,096
| 14,336
| 3.5
| 2.565255
| -3.136041
| 1.451193
| true
| 0.059909
|
dense
| -3.104937
| -0.563025
| -1.222506
| 64
| 0.273511
| 4,096
| 15
| 4,032
| 1
| 0.404147
| 0.059909
| 4.565421
|
success
| 0.244764
| 0.000001
| 4,032
| 0.059909
| 0.003387
|
|
87
|
model.layers.12.self_attn.k_proj
| 0.075259
| 1,024
| 4,096
| 4
| 7.086432
| -16.088866
| 1.130188
| true
| 0.005366
|
dense
| -16.054192
| -0.926907
| -2.270376
| 64
| 0.118329
| 1,024
| 64
| 960
| 1
| 0.760804
| 0.005366
| 22.053078
|
success
| 0.073251
| 0.000001
|
under-trained
| 960
| 0.005366
| 0.001531
|
88
|
model.layers.12.self_attn.o_proj
| 0.098352
| 4,096
| 4,096
| 1
| 2.341469
| -3.844098
| 1.422986
| true
| 0.022817
|
dense
| -3.816921
| -1.066917
| -1.641746
| 64
| 0.08572
| 4,096
| 9
| 4,032
| 1
| 0.447156
| 0.022817
| 3.756896
|
success
| 0.151052
| 0
| 4,032
| 0.022817
| 0.001114
|
|
89
|
model.layers.12.self_attn.q_proj
| 0.096271
| 4,096
| 4,096
| 1
| 3.514879
| -6.437541
| 1.532037
| true
| 0.01474
|
dense
| -6.215437
| -0.751836
| -1.831512
| 64
| 0.177078
| 4,096
| 19
| 4,032
| 1
| 0.576953
| 0.01474
| 12.01366
|
success
| 0.121407
| 0
| 4,032
| 0.01474
| 0.002399
|
|
90
|
model.layers.12.self_attn.v_proj
| 0.125811
| 1,024
| 4,096
| 4
| 2.641311
| -5.892274
| 1.064412
| true
| 0.005877
|
dense
| -5.860651
| -1.479967
| -2.230814
| 64
| 0.033116
| 1,024
| 7
| 960
| 1
| 0.620357
| 0.005877
| 5.634392
|
success
| 0.076664
| 0.000001
| 960
| 0.005877
| 0.000492
|
|
91
|
model.layers.13.mlp.down_proj
| 0.057336
| 4,096
| 14,336
| 3.5
| 2.697668
| -3.599657
| 1.476768
| true
| 0.046306
|
dense
| -3.564414
| -0.605902
| -1.334359
| 64
| 0.247798
| 4,096
| 16
| 4,032
| 1
| 0.424417
| 0.046306
| 5.35127
|
success
| 0.215189
| 0.000001
| 4,032
| 0.046306
| 0.003034
|
|
92
|
model.layers.13.mlp.gate_proj
| 0.049988
| 4,096
| 14,336
| 3.5
| 2.897777
| -4.073994
| 1.512724
| true
| 0.039273
|
dense
| -3.955254
| -0.473035
| -1.405903
| 64
| 0.336485
| 4,096
| 18
| 4,032
| 1
| 0.44731
| 0.039273
| 8.567781
|
success
| 0.198175
| 0.000001
| 4,032
| 0.039273
| 0.004496
|
|
93
|
model.layers.13.mlp.up_proj
| 0.050633
| 4,096
| 14,336
| 3.5
| 2.671905
| -3.462605
| 1.47642
| true
| 0.050591
|
dense
| -3.418621
| -0.554572
| -1.295931
| 64
| 0.278887
| 4,096
| 16
| 4,032
| 1
| 0.417976
| 0.050591
| 5.512635
|
success
| 0.224923
| 0.000001
| 4,032
| 0.050591
| 0.003567
|
|
94
|
model.layers.13.self_attn.k_proj
| 0.066871
| 1,024
| 4,096
| 4
| 7.126741
| -15.667061
| 1.127761
| true
| 0.006334
|
dense
| -15.652862
| -0.92216
| -2.198349
| 64
| 0.11963
| 1,024
| 62
| 960
| 1
| 0.778097
| 0.006334
| 18.888117
|
success
| 0.079584
| 0.000001
|
under-trained
| 960
| 0.006334
| 0.001548
|
95
|
model.layers.13.self_attn.o_proj
| 0.089577
| 4,096
| 4,096
| 1
| 2.459999
| -3.993042
| 1.421071
| true
| 0.023813
|
dense
| -3.97649
| -1.060992
| -1.623188
| 64
| 0.086898
| 4,096
| 10
| 4,032
| 1
| 0.461692
| 0.023813
| 3.64919
|
success
| 0.154314
| 0
| 4,032
| 0.023813
| 0.001045
|
|
96
|
model.layers.13.self_attn.q_proj
| 0.099775
| 4,096
| 4,096
| 1
| 3.642384
| -6.743105
| 1.539583
| true
| 0.014084
|
dense
| -6.55117
| -0.731106
| -1.851289
| 64
| 0.185735
| 4,096
| 16
| 4,032
| 1
| 0.660596
| 0.014084
| 13.188117
|
success
| 0.118674
| 0
| 4,032
| 0.014084
| 0.002735
|
|
97
|
model.layers.13.self_attn.v_proj
| 0.110842
| 1,024
| 4,096
| 4
| 2.716989
| -6.058543
| 1.070317
| true
| 0.00589
|
dense
| -6.026413
| -1.454266
| -2.229874
| 64
| 0.035135
| 1,024
| 8
| 960
| 1
| 0.607047
| 0.00589
| 5.964974
|
success
| 0.076747
| 0.000001
| 960
| 0.00589
| 0.000493
|
|
98
|
model.layers.14.mlp.down_proj
| 0.051323
| 4,096
| 14,336
| 3.5
| 3.157358
| -4.321053
| 1.500425
| true
| 0.042799
|
dense
| -4.305179
| -0.576714
| -1.368566
| 64
| 0.265024
| 4,096
| 18
| 4,032
| 1
| 0.508494
| 0.042799
| 6.192298
|
success
| 0.206879
| 0.000001
| 4,032
| 0.042799
| 0.003399
|
|
99
|
model.layers.14.mlp.gate_proj
| 0.052518
| 4,096
| 14,336
| 3.5
| 3.129804
| -4.385769
| 1.518106
| true
| 0.039692
|
dense
| -4.279752
| -0.439713
| -1.401292
| 64
| 0.363318
| 4,096
| 23
| 4,032
| 1
| 0.444095
| 0.039692
| 9.153327
|
success
| 0.19923
| 0.000001
| 4,032
| 0.039692
| 0.00455
|
End of preview. Expand
in Data Studio
No dataset card yet
- Downloads last month
- 10