layer_id
int64 0
223
| name
stringlengths 26
32
| D
float64 0.02
0.18
| M
int64 1.02k
4.1k
| N
int64 4.1k
14.3k
| Q
float64 1
4
| alpha
float64 3.57
40.4
| alpha_weighted
float64 -123.19
-7.38
| entropy
float64 1.1
1.57
| has_esd
bool 1
class | lambda_max
float32 0
0.01
| layer_type
stringclasses 1
value | log_alpha_norm
float64 -123.03
-6.97
| log_norm
float32 -1.93
-0.76
| log_spectral_norm
float32 -3.35
-2
| matrix_rank
int64 64
64
| norm
float32 0.01
0.17
| num_evals
int64 1.02k
4.1k
| num_pl_spikes
int64 7
64
| rank_loss
int64 960
4.03k
| rf
int64 1
1
| sigma
float64 0.59
11.9
| spectral_norm
float32 0
0.01
| stable_rank
float32 14
56.5
| status
stringclasses 1
value | sv_max
float64 0.02
0.1
| sv_min
float64 0
0
| warning
stringclasses 2
values | weak_rank_loss
int64 960
4.03k
| xmax
float64 0
0.01
| xmin
float64 0
0
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0
|
model.layers.0.mlp.down_proj
| 0.032919
| 4,096
| 14,336
| 3.5
| 18.055209
| -48.640228
| 1.567931
| true
| 0.002023
|
dense
| -48.269201
| -0.9936
| -2.693972
| 64
| 0.101485
| 4,096
| 48
| 4,032
| 1
| 2.461707
| 0.002023
| 50.161728
|
success
| 0.044979
| 0.000001
|
under-trained
| 4,032
| 0.002023
| 0.00152
|
1
|
model.layers.0.mlp.gate_proj
| 0.160123
| 4,096
| 14,336
| 3.5
| 10.852054
| -29.049223
| 1.562717
| true
| 0.002105
|
dense
| -28.678506
| -1.185878
| -2.676841
| 64
| 0.065181
| 4,096
| 62
| 4,032
| 1
| 1.251212
| 0.002105
| 30.971571
|
success
| 0.045875
| 0.000001
|
under-trained
| 4,032
| 0.002105
| 0.000911
|
2
|
model.layers.0.mlp.up_proj
| 0.17812
| 4,096
| 14,336
| 3.5
| 12.453256
| -32.740183
| 1.563214
| true
| 0.002349
|
dense
| -32.534855
| -1.156636
| -2.629046
| 64
| 0.069721
| 4,096
| 64
| 4,032
| 1
| 1.431657
| 0.002349
| 29.676323
|
success
| 0.04847
| 0.000001
|
under-trained
| 4,032
| 0.002349
| 0.000981
|
3
|
model.layers.0.self_attn.k_proj
| 0.083637
| 1,024
| 4,096
| 4
| 5.034398
| -15.510934
| 1.104559
| true
| 0.00083
|
dense
| -15.467863
| -1.933724
| -3.080991
| 64
| 0.011649
| 1,024
| 12
| 960
| 1
| 1.16463
| 0.00083
| 14.036742
|
success
| 0.028807
| 0.000001
| 960
| 0.00083
| 0.000259
|
|
4
|
model.layers.0.self_attn.o_proj
| 0.054402
| 4,096
| 4,096
| 1
| 8.622944
| -24.251016
| 1.564303
| true
| 0.00154
|
dense
| -24.223236
| -1.381247
| -2.812382
| 64
| 0.041567
| 4,096
| 62
| 4,032
| 1
| 0.968115
| 0.00154
| 26.985811
|
success
| 0.039247
| 0
|
under-trained
| 4,032
| 0.00154
| 0.000564
|
5
|
model.layers.0.self_attn.q_proj
| 0.078194
| 4,096
| 4,096
| 1
| 3.928884
| -12.483412
| 1.5311
| true
| 0.000665
|
dense
| -12.093811
| -1.929221
| -3.177343
| 64
| 0.01177
| 4,096
| 17
| 4,032
| 1
| 0.710359
| 0.000665
| 17.706078
|
success
| 0.025783
| 0
| 4,032
| 0.000665
| 0.000228
|
|
6
|
model.layers.0.self_attn.v_proj
| 0.037198
| 1,024
| 4,096
| 4
| 9.168773
| -29.572681
| 1.133628
| true
| 0.000595
|
dense
| -29.552212
| -1.780241
| -3.225369
| 64
| 0.016587
| 1,024
| 31
| 960
| 1
| 1.467155
| 0.000595
| 27.869484
|
success
| 0.024396
| 0.000001
|
under-trained
| 960
| 0.000595
| 0.000252
|
7
|
model.layers.1.mlp.down_proj
| 0.087105
| 4,096
| 14,336
| 3.5
| 22.468248
| -58.120207
| 1.567733
| true
| 0.00259
|
dense
| -58.087316
| -0.948784
| -2.586771
| 64
| 0.112516
| 4,096
| 64
| 4,032
| 1
| 2.683531
| 0.00259
| 43.449684
|
success
| 0.050888
| 0.000001
|
under-trained
| 4,032
| 0.00259
| 0.001674
|
8
|
model.layers.1.mlp.gate_proj
| 0.100303
| 4,096
| 14,336
| 3.5
| 16.665195
| -42.134642
| 1.566147
| true
| 0.002963
|
dense
| -42.134535
| -1.054559
| -2.528302
| 64
| 0.088194
| 4,096
| 64
| 4,032
| 1
| 1.958149
| 0.002963
| 29.767494
|
success
| 0.054431
| 0.000001
|
under-trained
| 4,032
| 0.002963
| 0.001283
|
9
|
model.layers.1.mlp.up_proj
| 0.093469
| 4,096
| 14,336
| 3.5
| 6.394431
| -15.962968
| 1.565633
| true
| 0.003189
|
dense
| -15.793623
| -1.026606
| -2.496386
| 64
| 0.094058
| 4,096
| 9
| 4,032
| 1
| 1.798144
| 0.003189
| 29.497108
|
success
| 0.056469
| 0.000001
|
under-trained
| 4,032
| 0.003189
| 0.001509
|
10
|
model.layers.1.self_attn.k_proj
| 0.046914
| 1,024
| 4,096
| 4
| 5.407095
| -18.119668
| 1.130692
| true
| 0.000446
|
dense
| -17.410583
| -1.817623
| -3.351091
| 64
| 0.015219
| 1,024
| 44
| 960
| 1
| 0.664395
| 0.000446
| 34.156071
|
success
| 0.021108
| 0.000001
| 960
| 0.000446
| 0.000202
|
|
11
|
model.layers.1.self_attn.o_proj
| 0.071885
| 4,096
| 4,096
| 1
| 10.221763
| -26.319684
| 1.562144
| true
| 0.002662
|
dense
| -26.319406
| -1.261839
| -2.574867
| 64
| 0.054722
| 4,096
| 64
| 4,032
| 1
| 1.15272
| 0.002662
| 20.560261
|
success
| 0.05159
| 0
|
under-trained
| 4,032
| 0.002662
| 0.000753
|
12
|
model.layers.1.self_attn.q_proj
| 0.042567
| 4,096
| 4,096
| 1
| 6.800043
| -21.868052
| 1.563175
| true
| 0.000608
|
dense
| -21.428138
| -1.691062
| -3.21587
| 64
| 0.020368
| 4,096
| 27
| 4,032
| 1
| 1.116219
| 0.000608
| 33.481743
|
success
| 0.024664
| 0
|
under-trained
| 4,032
| 0.000608
| 0.000313
|
13
|
model.layers.1.self_attn.v_proj
| 0.076443
| 1,024
| 4,096
| 4
| 9.857553
| -30.2983
| 1.134389
| true
| 0.000844
|
dense
| -30.292004
| -1.638683
| -3.073613
| 64
| 0.022978
| 1,024
| 59
| 960
| 1
| 1.153155
| 0.000844
| 27.222609
|
success
| 0.029053
| 0.000001
|
under-trained
| 960
| 0.000844
| 0.00032
|
14
|
model.layers.2.mlp.down_proj
| 0.044829
| 4,096
| 14,336
| 3.5
| 24.039725
| -62.65624
| 1.568052
| true
| 0.002475
|
dense
| -62.583448
| -0.918557
| -2.606363
| 64
| 0.120627
| 4,096
| 63
| 4,032
| 1
| 2.902732
| 0.002475
| 48.731022
|
success
| 0.049753
| 0.000001
|
under-trained
| 4,032
| 0.002475
| 0.001804
|
15
|
model.layers.2.mlp.gate_proj
| 0.122919
| 4,096
| 14,336
| 3.5
| 16.383023
| -39.734896
| 1.565553
| true
| 0.003755
|
dense
| -39.734813
| -0.980617
| -2.42537
| 64
| 0.104564
| 4,096
| 63
| 4,032
| 1
| 1.938079
| 0.003755
| 27.845358
|
success
| 0.061279
| 0.000001
|
under-trained
| 4,032
| 0.003755
| 0.001518
|
16
|
model.layers.2.mlp.up_proj
| 0.121084
| 4,096
| 14,336
| 3.5
| 5.922999
| -14.265511
| 1.56518
| true
| 0.003904
|
dense
| -14.105961
| -0.967536
| -2.408494
| 64
| 0.107761
| 4,096
| 7
| 4,032
| 1
| 1.860719
| 0.003904
| 27.603111
|
success
| 0.062482
| 0.000001
| 4,032
| 0.003904
| 0.001794
|
|
17
|
model.layers.2.self_attn.k_proj
| 0.08431
| 1,024
| 4,096
| 4
| 7.398291
| -22.674196
| 1.135633
| true
| 0.000861
|
dense
| -21.732295
| -1.400087
| -3.064789
| 64
| 0.039803
| 1,024
| 59
| 960
| 1
| 0.832986
| 0.000861
| 46.20631
|
success
| 0.02935
| 0.000001
|
under-trained
| 960
| 0.000861
| 0.000535
|
18
|
model.layers.2.self_attn.o_proj
| 0.053606
| 4,096
| 4,096
| 1
| 6.88414
| -18.728038
| 1.56454
| true
| 0.001903
|
dense
| -18.608163
| -1.266283
| -2.720462
| 64
| 0.054165
| 4,096
| 16
| 4,032
| 1
| 1.471035
| 0.001903
| 28.456308
|
success
| 0.043628
| 0
|
under-trained
| 4,032
| 0.001903
| 0.000853
|
19
|
model.layers.2.self_attn.q_proj
| 0.045028
| 4,096
| 4,096
| 1
| 13.196397
| -39.407577
| 1.567217
| true
| 0.001032
|
dense
| -39.116808
| -1.344605
| -2.986238
| 64
| 0.045227
| 4,096
| 31
| 4,032
| 1
| 2.190538
| 0.001032
| 43.815971
|
success
| 0.032128
| 0
|
under-trained
| 4,032
| 0.001032
| 0.000695
|
20
|
model.layers.2.self_attn.v_proj
| 0.055929
| 1,024
| 4,096
| 4
| 12.699136
| -39.315057
| 1.135977
| true
| 0.000802
|
dense
| -39.286448
| -1.537234
| -3.095884
| 64
| 0.029025
| 1,024
| 31
| 960
| 1
| 2.101227
| 0.000802
| 36.19511
|
success
| 0.028318
| 0.000001
|
under-trained
| 960
| 0.000802
| 0.000443
|
21
|
model.layers.3.mlp.down_proj
| 0.069587
| 4,096
| 14,336
| 3.5
| 24.161103
| -62.837628
| 1.568032
| true
| 0.002507
|
dense
| -62.654764
| -0.902753
| -2.600776
| 64
| 0.125097
| 4,096
| 63
| 4,032
| 1
| 2.918025
| 0.002507
| 49.891129
|
success
| 0.050074
| 0.000001
|
under-trained
| 4,032
| 0.002507
| 0.001871
|
22
|
model.layers.3.mlp.gate_proj
| 0.108322
| 4,096
| 14,336
| 3.5
| 5.989237
| -14.297708
| 1.565328
| true
| 0.0041
|
dense
| -14.129423
| -0.938871
| -2.387234
| 64
| 0.115114
| 4,096
| 8
| 4,032
| 1
| 1.763962
| 0.0041
| 28.077747
|
success
| 0.06403
| 0.000001
| 4,032
| 0.0041
| 0.001855
|
|
23
|
model.layers.3.mlp.up_proj
| 0.088098
| 4,096
| 14,336
| 3.5
| 6.218851
| -14.741318
| 1.564996
| true
| 0.004262
|
dense
| -14.595718
| -0.926769
| -2.370425
| 64
| 0.118367
| 4,096
| 10
| 4,032
| 1
| 1.650346
| 0.004262
| 27.775105
|
success
| 0.065281
| 0.000001
|
under-trained
| 4,032
| 0.004262
| 0.001882
|
24
|
model.layers.3.self_attn.k_proj
| 0.039784
| 1,024
| 4,096
| 4
| 9.502453
| -29.300807
| 1.135065
| true
| 0.000825
|
dense
| -29.097352
| -1.519796
| -3.083499
| 64
| 0.030214
| 1,024
| 28
| 960
| 1
| 1.606813
| 0.000825
| 36.61871
|
success
| 0.028724
| 0.000001
|
under-trained
| 960
| 0.000825
| 0.000465
|
25
|
model.layers.3.self_attn.o_proj
| 0.03449
| 4,096
| 4,096
| 1
| 11.703897
| -32.998486
| 1.566898
| true
| 0.001515
|
dense
| -32.790331
| -1.21244
| -2.819444
| 64
| 0.061314
| 4,096
| 64
| 4,032
| 1
| 1.337987
| 0.001515
| 40.457954
|
success
| 0.038929
| 0
|
under-trained
| 4,032
| 0.001515
| 0.000868
|
26
|
model.layers.3.self_attn.q_proj
| 0.044331
| 4,096
| 4,096
| 1
| 9.75992
| -29.598527
| 1.566602
| true
| 0.000928
|
dense
| -29.273948
| -1.428317
| -3.032661
| 64
| 0.037298
| 4,096
| 46
| 4,032
| 1
| 1.29158
| 0.000928
| 40.210899
|
success
| 0.030456
| 0
|
under-trained
| 4,032
| 0.000928
| 0.000538
|
27
|
model.layers.3.self_attn.v_proj
| 0.037176
| 1,024
| 4,096
| 4
| 17.910739
| -56.070237
| 1.136824
| true
| 0.00074
|
dense
| -55.960304
| -1.470565
| -3.130537
| 64
| 0.03384
| 1,024
| 25
| 960
| 1
| 3.382148
| 0.00074
| 45.705894
|
success
| 0.02721
| 0.000001
|
under-trained
| 960
| 0.00074
| 0.000533
|
28
|
model.layers.4.mlp.down_proj
| 0.080889
| 4,096
| 14,336
| 3.5
| 22.294176
| -57.197063
| 1.567888
| true
| 0.002719
|
dense
| -56.910812
| -0.881898
| -2.565561
| 64
| 0.131251
| 4,096
| 63
| 4,032
| 1
| 2.682814
| 0.002719
| 48.268436
|
success
| 0.052146
| 0.000001
|
under-trained
| 4,032
| 0.002719
| 0.001954
|
29
|
model.layers.4.mlp.gate_proj
| 0.086992
| 4,096
| 14,336
| 3.5
| 5.701482
| -13.174763
| 1.564059
| true
| 0.004889
|
dense
| -13.052403
| -0.911412
| -2.310761
| 64
| 0.122628
| 4,096
| 10
| 4,032
| 1
| 1.486739
| 0.004889
| 25.081268
|
success
| 0.069923
| 0.000001
| 4,032
| 0.004889
| 0.001941
|
|
30
|
model.layers.4.mlp.up_proj
| 0.085917
| 4,096
| 14,336
| 3.5
| 5.745872
| -13.215527
| 1.56369
| true
| 0.005012
|
dense
| -13.064761
| -0.890269
| -2.300004
| 64
| 0.128745
| 4,096
| 11
| 4,032
| 1
| 1.430934
| 0.005012
| 25.68824
|
success
| 0.070794
| 0.000001
| 4,032
| 0.005012
| 0.002069
|
|
31
|
model.layers.4.self_attn.k_proj
| 0.081884
| 1,024
| 4,096
| 4
| 14.177225
| -42.433407
| 1.1351
| true
| 0.001016
|
dense
| -42.247339
| -1.376714
| -2.993069
| 64
| 0.042004
| 1,024
| 10
| 960
| 1
| 4.167004
| 0.001016
| 41.338539
|
success
| 0.031876
| 0.000001
|
under-trained
| 960
| 0.001016
| 0.000765
|
32
|
model.layers.4.self_attn.o_proj
| 0.041909
| 4,096
| 4,096
| 1
| 8.999342
| -24.947075
| 1.565933
| true
| 0.00169
|
dense
| -24.706348
| -1.208685
| -2.7721
| 64
| 0.061846
| 4,096
| 49
| 4,032
| 1
| 1.142763
| 0.00169
| 36.594429
|
success
| 0.04111
| 0
|
under-trained
| 4,032
| 0.00169
| 0.000873
|
33
|
model.layers.4.self_attn.q_proj
| 0.052784
| 4,096
| 4,096
| 1
| 9.725256
| -28.848369
| 1.566779
| true
| 0.001081
|
dense
| -28.309011
| -1.32605
| -2.966335
| 64
| 0.047201
| 4,096
| 44
| 4,032
| 1
| 1.315382
| 0.001081
| 43.680317
|
success
| 0.032872
| 0
|
under-trained
| 4,032
| 0.001081
| 0.000685
|
34
|
model.layers.4.self_attn.v_proj
| 0.046636
| 1,024
| 4,096
| 4
| 14.819596
| -45.950279
| 1.136522
| true
| 0.000793
|
dense
| -45.797468
| -1.460378
| -3.100643
| 64
| 0.034644
| 1,024
| 25
| 960
| 1
| 2.763919
| 0.000793
| 43.678276
|
success
| 0.028163
| 0.000001
|
under-trained
| 960
| 0.000793
| 0.000545
|
35
|
model.layers.5.mlp.down_proj
| 0.078902
| 4,096
| 14,336
| 3.5
| 22.152337
| -56.400195
| 1.567959
| true
| 0.002844
|
dense
| -56.248918
| -0.862235
| -2.546016
| 64
| 0.13733
| 4,096
| 64
| 4,032
| 1
| 2.644042
| 0.002844
| 48.281437
|
success
| 0.053333
| 0.000001
|
under-trained
| 4,032
| 0.002844
| 0.002043
|
36
|
model.layers.5.mlp.gate_proj
| 0.098271
| 4,096
| 14,336
| 3.5
| 5.474008
| -12.563457
| 1.564191
| true
| 0.005069
|
dense
| -12.384134
| -0.880202
| -2.295111
| 64
| 0.131764
| 4,096
| 9
| 4,032
| 1
| 1.491336
| 0.005069
| 25.996128
|
success
| 0.071194
| 0.000001
| 4,032
| 0.005069
| 0.002119
|
|
37
|
model.layers.5.mlp.up_proj
| 0.093281
| 4,096
| 14,336
| 3.5
| 5.63767
| -12.907683
| 1.56396
| true
| 0.005134
|
dense
| -12.713778
| -0.863864
| -2.289542
| 64
| 0.136816
| 4,096
| 10
| 4,032
| 1
| 1.46656
| 0.005134
| 26.648809
|
success
| 0.071652
| 0.000001
| 4,032
| 0.005134
| 0.002233
|
|
38
|
model.layers.5.self_attn.k_proj
| 0.083045
| 1,024
| 4,096
| 4
| 14.811831
| -44.299109
| 1.136177
| true
| 0.001021
|
dense
| -44.030285
| -1.336815
| -2.990792
| 64
| 0.046045
| 1,024
| 15
| 960
| 1
| 3.566199
| 0.001021
| 45.07933
|
success
| 0.03196
| 0.000001
|
under-trained
| 960
| 0.001021
| 0.000774
|
39
|
model.layers.5.self_attn.o_proj
| 0.025052
| 4,096
| 4,096
| 1
| 11.793457
| -32.892559
| 1.567067
| true
| 0.001625
|
dense
| -32.748331
| -1.186162
| -2.789052
| 64
| 0.065139
| 4,096
| 57
| 4,032
| 1
| 1.429628
| 0.001625
| 40.076469
|
success
| 0.040316
| 0
|
under-trained
| 4,032
| 0.001625
| 0.000933
|
40
|
model.layers.5.self_attn.q_proj
| 0.05413
| 4,096
| 4,096
| 1
| 12.98071
| -38.08368
| 1.56739
| true
| 0.001164
|
dense
| -37.655263
| -1.268225
| -2.933867
| 64
| 0.053923
| 4,096
| 33
| 4,032
| 1
| 2.085574
| 0.001164
| 46.306519
|
success
| 0.034125
| 0
|
under-trained
| 4,032
| 0.001164
| 0.000822
|
41
|
model.layers.5.self_attn.v_proj
| 0.05871
| 1,024
| 4,096
| 4
| 19.824345
| -62.459979
| 1.13694
| true
| 0.000707
|
dense
| -62.171833
| -1.452914
| -3.150671
| 64
| 0.035244
| 1,024
| 20
| 960
| 1
| 4.209251
| 0.000707
| 49.860538
|
success
| 0.026587
| 0.000001
|
under-trained
| 960
| 0.000707
| 0.000566
|
42
|
model.layers.6.mlp.down_proj
| 0.097807
| 4,096
| 14,336
| 3.5
| 20.600959
| -51.765735
| 1.567756
| true
| 0.003071
|
dense
| -51.572194
| -0.845753
| -2.512783
| 64
| 0.142642
| 4,096
| 64
| 4,032
| 1
| 2.45012
| 0.003071
| 46.4547
|
success
| 0.055413
| 0.000001
|
under-trained
| 4,032
| 0.003071
| 0.002113
|
43
|
model.layers.6.mlp.gate_proj
| 0.068414
| 4,096
| 14,336
| 3.5
| 5.533623
| -12.467065
| 1.563599
| true
| 0.005585
|
dense
| -12.311158
| -0.850254
| -2.252966
| 64
| 0.141171
| 4,096
| 12
| 4,032
| 1
| 1.308744
| 0.005585
| 25.276239
|
success
| 0.074734
| 0.000001
| 4,032
| 0.005585
| 0.002209
|
|
44
|
model.layers.6.mlp.up_proj
| 0.076429
| 4,096
| 14,336
| 3.5
| 5.67715
| -12.874706
| 1.563689
| true
| 0.005397
|
dense
| -12.679234
| -0.84128
| -2.267811
| 64
| 0.144119
| 4,096
| 13
| 4,032
| 1
| 1.297208
| 0.005397
| 26.701216
|
success
| 0.073467
| 0.000001
| 4,032
| 0.005397
| 0.00227
|
|
45
|
model.layers.6.self_attn.k_proj
| 0.09852
| 1,024
| 4,096
| 4
| 8.767472
| -26.809819
| 1.136442
| true
| 0.000875
|
dense
| -25.700285
| -1.348075
| -3.057873
| 64
| 0.044867
| 1,024
| 63
| 960
| 1
| 0.978609
| 0.000875
| 51.262314
|
success
| 0.029584
| 0.000001
|
under-trained
| 960
| 0.000875
| 0.000615
|
46
|
model.layers.6.self_attn.o_proj
| 0.040391
| 4,096
| 4,096
| 1
| 9.963633
| -27.33182
| 1.566175
| true
| 0.001807
|
dense
| -27.155354
| -1.181547
| -2.743158
| 64
| 0.065834
| 4,096
| 64
| 4,032
| 1
| 1.120454
| 0.001807
| 36.442715
|
success
| 0.042503
| 0
|
under-trained
| 4,032
| 0.001807
| 0.000912
|
47
|
model.layers.6.self_attn.q_proj
| 0.040589
| 4,096
| 4,096
| 1
| 12.254351
| -35.641948
| 1.567165
| true
| 0.001234
|
dense
| -35.379423
| -1.274873
| -2.908514
| 64
| 0.053104
| 4,096
| 29
| 4,032
| 1
| 2.08988
| 0.001234
| 43.017075
|
success
| 0.035135
| 0
|
under-trained
| 4,032
| 0.001234
| 0.000817
|
48
|
model.layers.6.self_attn.v_proj
| 0.042567
| 1,024
| 4,096
| 4
| 14.386236
| -44.097629
| 1.136462
| true
| 0.00086
|
dense
| -43.998409
| -1.443458
| -3.065265
| 64
| 0.03602
| 1,024
| 25
| 960
| 1
| 2.677247
| 0.00086
| 41.860809
|
success
| 0.029334
| 0.000001
|
under-trained
| 960
| 0.00086
| 0.000564
|
49
|
model.layers.7.mlp.down_proj
| 0.085805
| 4,096
| 14,336
| 3.5
| 20.775565
| -52.011701
| 1.567809
| true
| 0.003137
|
dense
| -51.827012
| -0.830214
| -2.503504
| 64
| 0.147838
| 4,096
| 64
| 4,032
| 1
| 2.471946
| 0.003137
| 47.129108
|
success
| 0.056008
| 0.000001
|
under-trained
| 4,032
| 0.003137
| 0.002191
|
50
|
model.layers.7.mlp.gate_proj
| 0.081984
| 4,096
| 14,336
| 3.5
| 5.883159
| -13.182678
| 1.563816
| true
| 0.005744
|
dense
| -13.049045
| -0.829893
| -2.240748
| 64
| 0.147947
| 4,096
| 12
| 4,032
| 1
| 1.409647
| 0.005744
| 25.75465
|
success
| 0.075792
| 0.000001
| 4,032
| 0.005744
| 0.002348
|
|
51
|
model.layers.7.mlp.up_proj
| 0.057328
| 4,096
| 14,336
| 3.5
| 6.148233
| -13.927992
| 1.564189
| true
| 0.005428
|
dense
| -13.756112
| -0.822357
| -2.265365
| 64
| 0.150537
| 4,096
| 14
| 4,032
| 1
| 1.375923
| 0.005428
| 27.733747
|
success
| 0.073675
| 0.000001
|
under-trained
| 4,032
| 0.005428
| 0.002372
|
52
|
model.layers.7.self_attn.k_proj
| 0.09518
| 1,024
| 4,096
| 4
| 7.604473
| -22.570781
| 1.135798
| true
| 0.001076
|
dense
| -21.502538
| -1.281329
| -2.968093
| 64
| 0.05232
| 1,024
| 58
| 960
| 1
| 0.86721
| 0.001076
| 48.614307
|
success
| 0.032806
| 0.000001
|
under-trained
| 960
| 0.001076
| 0.000709
|
53
|
model.layers.7.self_attn.o_proj
| 0.026661
| 4,096
| 4,096
| 1
| 11.071689
| -30.661835
| 1.566892
| true
| 0.001701
|
dense
| -30.318646
| -1.146771
| -2.769391
| 64
| 0.071323
| 4,096
| 49
| 4,032
| 1
| 1.438813
| 0.001701
| 41.939178
|
success
| 0.041239
| 0
|
under-trained
| 4,032
| 0.001701
| 0.001032
|
54
|
model.layers.7.self_attn.q_proj
| 0.055803
| 4,096
| 4,096
| 1
| 16.982169
| -48.844106
| 1.567477
| true
| 0.00133
|
dense
| -48.732499
| -1.224751
| -2.876199
| 64
| 0.0596
| 4,096
| 16
| 4,032
| 1
| 3.995542
| 0.00133
| 44.817566
|
success
| 0.036467
| 0
|
under-trained
| 4,032
| 0.00133
| 0.000977
|
55
|
model.layers.7.self_attn.v_proj
| 0.081528
| 1,024
| 4,096
| 4
| 17.819071
| -55.523497
| 1.136963
| true
| 0.000766
|
dense
| -55.024378
| -1.40785
| -3.115959
| 64
| 0.039098
| 1,024
| 31
| 960
| 1
| 3.020794
| 0.000766
| 51.063366
|
success
| 0.027671
| 0.000001
|
under-trained
| 960
| 0.000766
| 0.000608
|
56
|
model.layers.8.mlp.down_proj
| 0.061533
| 4,096
| 14,336
| 3.5
| 21.01559
| -51.882457
| 1.567765
| true
| 0.003398
|
dense
| -51.846039
| -0.823899
| -2.46876
| 64
| 0.150003
| 4,096
| 64
| 4,032
| 1
| 2.501949
| 0.003398
| 44.143002
|
success
| 0.058293
| 0.000001
|
under-trained
| 4,032
| 0.003398
| 0.002224
|
57
|
model.layers.8.mlp.gate_proj
| 0.068686
| 4,096
| 14,336
| 3.5
| 5.448702
| -11.997627
| 1.563144
| true
| 0.006282
|
dense
| -11.855454
| -0.813531
| -2.201924
| 64
| 0.153628
| 4,096
| 12
| 4,032
| 1
| 1.28423
| 0.006282
| 24.456436
|
success
| 0.079257
| 0.000001
| 4,032
| 0.006282
| 0.002431
|
|
58
|
model.layers.8.mlp.up_proj
| 0.056817
| 4,096
| 14,336
| 3.5
| 6.014112
| -13.355063
| 1.563554
| true
| 0.006017
|
dense
| -13.222077
| -0.806294
| -2.220621
| 64
| 0.156209
| 4,096
| 15
| 4,032
| 1
| 1.294638
| 0.006017
| 25.961346
|
success
| 0.077569
| 0.000001
|
under-trained
| 4,032
| 0.006017
| 0.002433
|
59
|
model.layers.8.self_attn.k_proj
| 0.088969
| 1,024
| 4,096
| 4
| 9.859432
| -29.38636
| 1.136428
| true
| 0.001046
|
dense
| -28.462179
| -1.284628
| -2.980533
| 64
| 0.051924
| 1,024
| 54
| 960
| 1
| 1.205616
| 0.001046
| 49.648315
|
success
| 0.03234
| 0.000001
|
under-trained
| 960
| 0.001046
| 0.000737
|
60
|
model.layers.8.self_attn.o_proj
| 0.033804
| 4,096
| 4,096
| 1
| 10.868981
| -30.062994
| 1.566883
| true
| 0.001714
|
dense
| -29.660789
| -1.136309
| -2.765944
| 64
| 0.073062
| 4,096
| 64
| 4,032
| 1
| 1.233623
| 0.001714
| 42.62207
|
success
| 0.041403
| 0
|
under-trained
| 4,032
| 0.001714
| 0.001026
|
61
|
model.layers.8.self_attn.q_proj
| 0.030906
| 4,096
| 4,096
| 1
| 12.153658
| -34.439359
| 1.567197
| true
| 0.001467
|
dense
| -34.210802
| -1.207567
| -2.833662
| 64
| 0.062006
| 4,096
| 48
| 4,032
| 1
| 1.609892
| 0.001467
| 42.276085
|
success
| 0.038297
| 0
|
under-trained
| 4,032
| 0.001467
| 0.000906
|
62
|
model.layers.8.self_attn.v_proj
| 0.038532
| 1,024
| 4,096
| 4
| 13.524507
| -40.222681
| 1.136178
| true
| 0.001062
|
dense
| -40.189634
| -1.394706
| -2.974059
| 64
| 0.040299
| 1,024
| 25
| 960
| 1
| 2.504901
| 0.001062
| 37.962379
|
success
| 0.032581
| 0.000001
|
under-trained
| 960
| 0.001062
| 0.000631
|
63
|
model.layers.9.mlp.down_proj
| 0.06213
| 4,096
| 14,336
| 3.5
| 20.084147
| -50.021743
| 1.567869
| true
| 0.003231
|
dense
| -49.887609
| -0.816982
| -2.490608
| 64
| 0.152411
| 4,096
| 64
| 4,032
| 1
| 2.385518
| 0.003231
| 47.165665
|
success
| 0.056845
| 0.000001
|
under-trained
| 4,032
| 0.003231
| 0.002255
|
64
|
model.layers.9.mlp.gate_proj
| 0.069464
| 4,096
| 14,336
| 3.5
| 5.4589
| -11.935915
| 1.562619
| true
| 0.006509
|
dense
| -11.787865
| -0.800629
| -2.186505
| 64
| 0.15826
| 4,096
| 14
| 4,032
| 1
| 1.191691
| 0.006509
| 24.315136
|
success
| 0.080677
| 0.000001
| 4,032
| 0.006509
| 0.00247
|
|
65
|
model.layers.9.mlp.up_proj
| 0.048199
| 4,096
| 14,336
| 3.5
| 5.901424
| -13.009582
| 1.563118
| true
| 0.006245
|
dense
| -12.85789
| -0.791337
| -2.204482
| 64
| 0.161682
| 4,096
| 17
| 4,032
| 1
| 1.18877
| 0.006245
| 25.890726
|
success
| 0.079024
| 0.000001
| 4,032
| 0.006245
| 0.002484
|
|
66
|
model.layers.9.self_attn.k_proj
| 0.108648
| 1,024
| 4,096
| 4
| 8.484636
| -24.745348
| 1.136499
| true
| 0.001212
|
dense
| -23.627736
| -1.206466
| -2.916489
| 64
| 0.062163
| 1,024
| 64
| 960
| 1
| 0.935579
| 0.001212
| 51.288914
|
success
| 0.034814
| 0.000001
|
under-trained
| 960
| 0.001212
| 0.000846
|
67
|
model.layers.9.self_attn.o_proj
| 0.03061
| 4,096
| 4,096
| 1
| 10.436632
| -28.550257
| 1.566731
| true
| 0.001838
|
dense
| -28.225721
| -1.125417
| -2.735581
| 64
| 0.074917
| 4,096
| 54
| 4,032
| 1
| 1.284163
| 0.001838
| 40.753433
|
success
| 0.042876
| 0
|
under-trained
| 4,032
| 0.001838
| 0.001066
|
68
|
model.layers.9.self_attn.q_proj
| 0.052522
| 4,096
| 4,096
| 1
| 13.246666
| -36.376856
| 1.567171
| true
| 0.001794
|
dense
| -36.314785
| -1.151612
| -2.746114
| 64
| 0.070532
| 4,096
| 42
| 4,032
| 1
| 1.889702
| 0.001794
| 39.309879
|
success
| 0.042359
| 0
|
under-trained
| 4,032
| 0.001794
| 0.00105
|
69
|
model.layers.9.self_attn.v_proj
| 0.052762
| 1,024
| 4,096
| 4
| 14.481143
| -43.779659
| 1.136397
| true
| 0.000948
|
dense
| -43.737233
| -1.423086
| -3.023218
| 64
| 0.03775
| 1,024
| 31
| 960
| 1
| 2.421285
| 0.000948
| 39.822842
|
success
| 0.030789
| 0.000001
|
under-trained
| 960
| 0.000948
| 0.000581
|
70
|
model.layers.10.mlp.down_proj
| 0.075484
| 4,096
| 14,336
| 3.5
| 10.934874
| -26.172484
| 1.567238
| true
| 0.004041
|
dense
| -26.076547
| -0.814239
| -2.393487
| 64
| 0.153377
| 4,096
| 13
| 4,032
| 1
| 2.755438
| 0.004041
| 37.953167
|
success
| 0.063571
| 0.000001
|
under-trained
| 4,032
| 0.004041
| 0.002432
|
71
|
model.layers.10.mlp.gate_proj
| 0.072846
| 4,096
| 14,336
| 3.5
| 4.636268
| -9.481178
| 1.557717
| true
| 0.009016
|
dense
| -9.39916
| -0.789586
| -2.045002
| 64
| 0.162336
| 4,096
| 14
| 4,032
| 1
| 0.971834
| 0.009016
| 18.005938
|
success
| 0.094951
| 0.000001
| 4,032
| 0.009016
| 0.0025
|
|
72
|
model.layers.10.mlp.up_proj
| 0.060395
| 4,096
| 14,336
| 3.5
| 4.955356
| -10.359555
| 1.559506
| true
| 0.008118
|
dense
| -10.251761
| -0.78265
| -2.090577
| 64
| 0.164949
| 4,096
| 14
| 4,032
| 1
| 1.057113
| 0.008118
| 20.320147
|
success
| 0.090097
| 0.000001
| 4,032
| 0.008118
| 0.002598
|
|
73
|
model.layers.10.self_attn.k_proj
| 0.094365
| 1,024
| 4,096
| 4
| 15.683611
| -45.501024
| 1.136444
| true
| 0.001256
|
dense
| -44.901573
| -1.20619
| -2.901183
| 64
| 0.062203
| 1,024
| 17
| 960
| 1
| 3.561299
| 0.001256
| 49.544209
|
success
| 0.035433
| 0.000001
|
under-trained
| 960
| 0.001256
| 0.001027
|
74
|
model.layers.10.self_attn.o_proj
| 0.037535
| 4,096
| 4,096
| 1
| 9.877892
| -26.532661
| 1.565923
| true
| 0.00206
|
dense
| -26.188098
| -1.11339
| -2.686065
| 64
| 0.077021
| 4,096
| 62
| 4,032
| 1
| 1.127493
| 0.00206
| 37.383114
|
success
| 0.045391
| 0
|
under-trained
| 4,032
| 0.00206
| 0.001069
|
75
|
model.layers.10.self_attn.q_proj
| 0.037533
| 4,096
| 4,096
| 1
| 13.054052
| -36.288138
| 1.567345
| true
| 0.00166
|
dense
| -36.072602
| -1.143307
| -2.779837
| 64
| 0.071894
| 4,096
| 37
| 4,032
| 1
| 1.981674
| 0.00166
| 43.304161
|
success
| 0.040746
| 0
|
under-trained
| 4,032
| 0.00166
| 0.001081
|
76
|
model.layers.10.self_attn.v_proj
| 0.060372
| 1,024
| 4,096
| 4
| 14.002535
| -42.984731
| 1.136544
| true
| 0.000852
|
dense
| -42.610043
| -1.405518
| -3.069782
| 64
| 0.039308
| 1,024
| 25
| 960
| 1
| 2.600507
| 0.000852
| 46.159813
|
success
| 0.029182
| 0.000001
|
under-trained
| 960
| 0.000852
| 0.000617
|
77
|
model.layers.11.mlp.down_proj
| 0.064006
| 4,096
| 14,336
| 3.5
| 18.143359
| -44.600654
| 1.567634
| true
| 0.003481
|
dense
| -44.504382
| -0.813716
| -2.458236
| 64
| 0.153562
| 4,096
| 64
| 4,032
| 1
| 2.14292
| 0.003481
| 44.108185
|
success
| 0.059004
| 0.000001
|
under-trained
| 4,032
| 0.003481
| 0.002257
|
78
|
model.layers.11.mlp.gate_proj
| 0.061851
| 4,096
| 14,336
| 3.5
| 4.729063
| -9.84292
| 1.559193
| true
| 0.008291
|
dense
| -9.72596
| -0.782129
| -2.081368
| 64
| 0.165147
| 4,096
| 14
| 4,032
| 1
| 0.996634
| 0.008291
| 19.917686
|
success
| 0.091058
| 0.000001
| 4,032
| 0.008291
| 0.002583
|
|
79
|
model.layers.11.mlp.up_proj
| 0.052182
| 4,096
| 14,336
| 3.5
| 5.172912
| -10.963762
| 1.560651
| true
| 0.007595
|
dense
| -10.834115
| -0.775218
| -2.119456
| 64
| 0.167796
| 4,096
| 16
| 4,032
| 1
| 1.043228
| 0.007595
| 22.092144
|
success
| 0.087151
| 0.000001
| 4,032
| 0.007595
| 0.002597
|
|
80
|
model.layers.11.self_attn.k_proj
| 0.097096
| 1,024
| 4,096
| 4
| 25.593823
| -73.865998
| 1.136346
| true
| 0.0013
|
dense
| -73.555482
| -1.187924
| -2.886087
| 64
| 0.064875
| 1,024
| 9
| 960
| 1
| 8.197941
| 0.0013
| 49.907162
|
success
| 0.036054
| 0.000001
|
under-trained
| 960
| 0.0013
| 0.001146
|
81
|
model.layers.11.self_attn.o_proj
| 0.040468
| 4,096
| 4,096
| 1
| 10.338723
| -27.704059
| 1.566199
| true
| 0.002091
|
dense
| -27.529661
| -1.112696
| -2.67964
| 64
| 0.077144
| 4,096
| 64
| 4,032
| 1
| 1.16734
| 0.002091
| 36.893032
|
success
| 0.045728
| 0
|
under-trained
| 4,032
| 0.002091
| 0.001074
|
82
|
model.layers.11.self_attn.q_proj
| 0.0556
| 4,096
| 4,096
| 1
| 15.688182
| -42.828
| 1.567348
| true
| 0.001862
|
dense
| -42.80471
| -1.128807
| -2.729953
| 64
| 0.074335
| 4,096
| 30
| 4,032
| 1
| 2.681683
| 0.001862
| 39.91589
|
success
| 0.043154
| 0
|
under-trained
| 4,032
| 0.001862
| 0.00115
|
83
|
model.layers.11.self_attn.v_proj
| 0.066851
| 1,024
| 4,096
| 4
| 15.642017
| -48.128035
| 1.136797
| true
| 0.000838
|
dense
| -47.647632
| -1.385308
| -3.076843
| 64
| 0.041181
| 1,024
| 29
| 960
| 1
| 2.718954
| 0.000838
| 49.151302
|
success
| 0.028945
| 0.000001
|
under-trained
| 960
| 0.000838
| 0.00064
|
84
|
model.layers.12.mlp.down_proj
| 0.046249
| 4,096
| 14,336
| 3.5
| 19.143419
| -47.722061
| 1.567887
| true
| 0.003215
|
dense
| -47.515283
| -0.808447
| -2.49287
| 64
| 0.155437
| 4,096
| 64
| 4,032
| 1
| 2.267927
| 0.003215
| 48.353001
|
success
| 0.056698
| 0.000001
|
under-trained
| 4,032
| 0.003215
| 0.002294
|
85
|
model.layers.12.mlp.gate_proj
| 0.082356
| 4,096
| 14,336
| 3.5
| 5.576734
| -11.745804
| 1.560038
| true
| 0.00783
|
dense
| -11.671995
| -0.78163
| -2.106216
| 64
| 0.165337
| 4,096
| 24
| 4,032
| 1
| 0.934222
| 0.00783
| 21.114716
|
success
| 0.08849
| 0.000001
| 4,032
| 0.00783
| 0.002393
|
|
86
|
model.layers.12.mlp.up_proj
| 0.067437
| 4,096
| 14,336
| 3.5
| 5.63354
| -12.118184
| 1.561774
| true
| 0.007062
|
dense
| -11.99408
| -0.775037
| -2.151078
| 64
| 0.167866
| 4,096
| 20
| 4,032
| 1
| 1.036091
| 0.007062
| 23.770645
|
success
| 0.084035
| 0.000001
| 4,032
| 0.007062
| 0.002511
|
|
87
|
model.layers.12.self_attn.k_proj
| 0.075255
| 1,024
| 4,096
| 4
| 7.307717
| -20.30396
| 1.135072
| true
| 0.001666
|
dense
| -19.509019
| -1.143765
| -2.778427
| 64
| 0.071818
| 1,024
| 48
| 960
| 1
| 0.910441
| 0.001666
| 43.118359
|
success
| 0.040812
| 0.000001
|
under-trained
| 960
| 0.001666
| 0.000996
|
88
|
model.layers.12.self_attn.o_proj
| 0.037535
| 4,096
| 4,096
| 1
| 13.204657
| -37.122458
| 1.567481
| true
| 0.001544
|
dense
| -36.591702
| -1.13263
| -2.811316
| 64
| 0.073684
| 4,096
| 37
| 4,032
| 1
| 2.006433
| 0.001544
| 47.718407
|
success
| 0.039295
| 0
|
under-trained
| 4,032
| 0.001544
| 0.00111
|
89
|
model.layers.12.self_attn.q_proj
| 0.043548
| 4,096
| 4,096
| 1
| 14.551028
| -39.510564
| 1.567378
| true
| 0.001926
|
dense
| -39.467633
| -1.109314
| -2.715311
| 64
| 0.077747
| 4,096
| 37
| 4,032
| 1
| 2.227775
| 0.001926
| 40.364216
|
success
| 0.043888
| 0
|
under-trained
| 4,032
| 0.001926
| 0.001177
|
90
|
model.layers.12.self_attn.v_proj
| 0.058039
| 1,024
| 4,096
| 4
| 18.939154
| -58.92721
| 1.136923
| true
| 0.000774
|
dense
| -58.459355
| -1.403804
| -3.111396
| 64
| 0.039464
| 1,024
| 22
| 960
| 1
| 3.824641
| 0.000774
| 51.002598
|
success
| 0.027816
| 0.000001
|
under-trained
| 960
| 0.000774
| 0.00063
|
91
|
model.layers.13.mlp.down_proj
| 0.079269
| 4,096
| 14,336
| 3.5
| 9.616183
| -22.950278
| 1.567183
| true
| 0.004106
|
dense
| -22.740849
| -0.797377
| -2.386631
| 64
| 0.159449
| 4,096
| 11
| 4,032
| 1
| 2.597877
| 0.004106
| 38.837742
|
success
| 0.064074
| 0.000001
|
under-trained
| 4,032
| 0.004106
| 0.002567
|
92
|
model.layers.13.mlp.gate_proj
| 0.079731
| 4,096
| 14,336
| 3.5
| 4.984892
| -10.360039
| 1.55877
| true
| 0.008351
|
dense
| -10.255785
| -0.773513
| -2.078287
| 64
| 0.168456
| 4,096
| 20
| 4,032
| 1
| 0.891049
| 0.008351
| 20.173187
|
success
| 0.091381
| 0.000001
| 4,032
| 0.008351
| 0.002494
|
|
93
|
model.layers.13.mlp.up_proj
| 0.072429
| 4,096
| 14,336
| 3.5
| 5.011493
| -10.601177
| 1.560401
| true
| 0.007667
|
dense
| -10.445835
| -0.767323
| -2.115373
| 64
| 0.170874
| 4,096
| 17
| 4,032
| 1
| 0.97293
| 0.007667
| 22.286915
|
success
| 0.087562
| 0.000001
| 4,032
| 0.007667
| 0.002607
|
|
94
|
model.layers.13.self_attn.k_proj
| 0.085804
| 1,024
| 4,096
| 4
| 10.917614
| -31.714969
| 1.13663
| true
| 0.001245
|
dense
| -30.802451
| -1.199312
| -2.904936
| 64
| 0.063196
| 1,024
| 50
| 960
| 1
| 1.402562
| 0.001245
| 50.771942
|
success
| 0.03528
| 0.000001
|
under-trained
| 960
| 0.001245
| 0.000914
|
95
|
model.layers.13.self_attn.o_proj
| 0.038864
| 4,096
| 4,096
| 1
| 10.873859
| -29.532194
| 1.566954
| true
| 0.001924
|
dense
| -29.111348
| -1.083524
| -2.715889
| 64
| 0.082504
| 4,096
| 52
| 4,032
| 1
| 1.369258
| 0.001924
| 42.890877
|
success
| 0.043859
| 0
|
under-trained
| 4,032
| 0.001924
| 0.001184
|
96
|
model.layers.13.self_attn.q_proj
| 0.044763
| 4,096
| 4,096
| 1
| 12.123026
| -32.701739
| 1.567134
| true
| 0.002007
|
dense
| -32.617086
| -1.106532
| -2.69749
| 64
| 0.078247
| 4,096
| 55
| 4,032
| 1
| 1.499829
| 0.002007
| 38.99041
|
success
| 0.044798
| 0
|
under-trained
| 4,032
| 0.002007
| 0.001128
|
97
|
model.layers.13.self_attn.v_proj
| 0.067765
| 1,024
| 4,096
| 4
| 20.641453
| -63.667613
| 1.136971
| true
| 0.000823
|
dense
| -63.173656
| -1.36992
| -3.084454
| 64
| 0.042666
| 1,024
| 18
| 960
| 1
| 4.629535
| 0.000823
| 51.824352
|
success
| 0.028693
| 0.000001
|
under-trained
| 960
| 0.000823
| 0.00069
|
98
|
model.layers.14.mlp.down_proj
| 0.079255
| 4,096
| 14,336
| 3.5
| 11.89016
| -29.105109
| 1.567366
| true
| 0.003566
|
dense
| -28.577562
| -0.787616
| -2.447832
| 64
| 0.163074
| 4,096
| 23
| 4,032
| 1
| 2.270755
| 0.003566
| 45.731548
|
success
| 0.059715
| 0.000001
|
under-trained
| 4,032
| 0.003566
| 0.002507
|
99
|
model.layers.14.mlp.gate_proj
| 0.063937
| 4,096
| 14,336
| 3.5
| 4.882276
| -10.067112
| 1.558951
| true
| 0.00867
|
dense
| -9.97402
| -0.76949
| -2.061971
| 64
| 0.170024
| 4,096
| 15
| 4,032
| 1
| 1.002399
| 0.00867
| 19.610151
|
success
| 0.093114
| 0.000001
| 4,032
| 0.00867
| 0.002664
|
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