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unit
stringlengths
8
29
ppl
float64
13.3
65.9
tensors
listlengths
1
3
damage
float64
-7.81
5.83
BASELINE
13.3632
null
null
attn_k@0+attn_q@0+attn_v@0
13.3452
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-0.018
attn_output@0
13.3706
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0.0074
ffn_down@0
13.3795
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0.0163
ffn_gate@0+ffn_up@0
13.3967
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0.0335
attn_k@1+attn_q@1+attn_v@1
13.4055
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0.0423
attn_output@1
13.3877
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0.0245
ffn_down@1
13.3848
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0.0216
ffn_gate@1+ffn_up@1
13.4105
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0.0473
attn_k@10+attn_q@10+attn_v@10
13.3977
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0.0345
attn_output@10
13.3808
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0.0176
ffn_down@10
13.3554
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-0.0078
ffn_gate@10+ffn_up@10
13.3513
[ "blk.10.ffn_gate.weight", "blk.10.ffn_up.weight" ]
-0.0119
attn_k@11+attn_q@11+attn_v@11
13.3744
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0.0112
attn_output@11
13.4224
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0.0592
ffn_down@11
13.3684
[ "blk.11.ffn_down.weight" ]
0.0052
ffn_gate@11+ffn_up@11
13.4043
[ "blk.11.ffn_gate.weight", "blk.11.ffn_up.weight" ]
0.0411
attn_k@12+attn_q@12+attn_v@12
13.4102
[ "blk.12.attn_k.weight", "blk.12.attn_q.weight", "blk.12.attn_v.weight" ]
0.047
attn_output@12
13.3409
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-0.0223
ffn_down@12
13.3919
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0.0287
ffn_gate@12+ffn_up@12
13.396
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0.0328
attn_k@13+attn_q@13+attn_v@13
13.3735
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0.0103
attn_output@13
13.4247
[ "blk.13.attn_output.weight" ]
0.0615
ffn_down@13
13.3665
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0.0033
ffn_gate@13+ffn_up@13
13.3936
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0.0304
attn_k@14+attn_q@14+attn_v@14
13.3908
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0.0276
attn_output@14
13.3558
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-0.0074
ffn_down@14
13.392
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0.0288
ffn_gate@14+ffn_up@14
13.4279
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0.0647
attn_k@15+attn_q@15+attn_v@15
13.4277
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0.0645
attn_output@15
13.3576
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-0.0056
ffn_down@15
13.3537
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-0.0095
ffn_gate@15+ffn_up@15
13.3987
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0.0355
attn_k@16+attn_q@16+attn_v@16
13.3982
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0.035
attn_output@16
13.3988
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0.0356
ffn_down@16
13.3691
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0.0059
ffn_gate@16+ffn_up@16
13.3887
[ "blk.16.ffn_gate.weight", "blk.16.ffn_up.weight" ]
0.0255
attn_k@17+attn_q@17+attn_v@17
13.387
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0.0238
attn_output@17
13.3829
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0.0197
ffn_down@17
13.3644
[ "blk.17.ffn_down.weight" ]
0.0012
ffn_gate@17+ffn_up@17
13.4057
[ "blk.17.ffn_gate.weight", "blk.17.ffn_up.weight" ]
0.0425
attn_k@18+attn_q@18+attn_v@18
13.3733
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0.0101
attn_output@18
13.377
[ "blk.18.attn_output.weight" ]
0.0138
ffn_down@18
13.3683
[ "blk.18.ffn_down.weight" ]
0.0051
ffn_gate@18+ffn_up@18
13.3792
[ "blk.18.ffn_gate.weight", "blk.18.ffn_up.weight" ]
0.016
attn_k@19+attn_q@19+attn_v@19
13.3771
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0.0139
attn_output@19
13.3763
[ "blk.19.attn_output.weight" ]
0.0131
ffn_down@19
13.3876
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0.0244
ffn_gate@19+ffn_up@19
13.3929
[ "blk.19.ffn_gate.weight", "blk.19.ffn_up.weight" ]
0.0297
attn_k@2+attn_q@2+attn_v@2
13.3608
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-0.0024
attn_output@2
13.3585
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-0.0047
ffn_down@2
13.3646
[ "blk.2.ffn_down.weight" ]
0.0014
ffn_gate@2+ffn_up@2
13.3962
[ "blk.2.ffn_gate.weight", "blk.2.ffn_up.weight" ]
0.033
attn_k@20+attn_q@20+attn_v@20
13.3871
[ "blk.20.attn_k.weight", "blk.20.attn_q.weight", "blk.20.attn_v.weight" ]
0.0239
attn_output@20
13.3771
[ "blk.20.attn_output.weight" ]
0.0139
ffn_down@20
13.3653
[ "blk.20.ffn_down.weight" ]
0.0021
ffn_gate@20+ffn_up@20
13.3734
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0.0102
attn_k@21+attn_q@21+attn_v@21
13.3595
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-0.0037
attn_output@21
13.4029
[ "blk.21.attn_output.weight" ]
0.0397
ffn_down@21
13.3649
[ "blk.21.ffn_down.weight" ]
0.0017
ffn_gate@21+ffn_up@21
13.4033
[ "blk.21.ffn_gate.weight", "blk.21.ffn_up.weight" ]
0.0401
attn_k@22+attn_q@22+attn_v@22
13.4083
[ "blk.22.attn_k.weight", "blk.22.attn_q.weight", "blk.22.attn_v.weight" ]
0.0451
attn_output@22
13.423
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0.0598
ffn_down@22
13.3792
[ "blk.22.ffn_down.weight" ]
0.016
ffn_gate@22+ffn_up@22
13.4058
[ "blk.22.ffn_gate.weight", "blk.22.ffn_up.weight" ]
0.0426
attn_k@23+attn_q@23+attn_v@23
13.3778
[ "blk.23.attn_k.weight", "blk.23.attn_q.weight", "blk.23.attn_v.weight" ]
0.0146
attn_output@23
13.361
[ "blk.23.attn_output.weight" ]
-0.0022
ffn_down@23
13.3902
[ "blk.23.ffn_down.weight" ]
0.027
ffn_gate@23+ffn_up@23
13.4089
[ "blk.23.ffn_gate.weight", "blk.23.ffn_up.weight" ]
0.0457
attn_k@24+attn_q@24+attn_v@24
13.3844
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0.0212
attn_output@24
13.3739
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0.0107
ffn_down@24
13.3745
[ "blk.24.ffn_down.weight" ]
0.0113
ffn_gate@24+ffn_up@24
13.4155
[ "blk.24.ffn_gate.weight", "blk.24.ffn_up.weight" ]
0.0523
attn_k@25+attn_q@25+attn_v@25
13.3737
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0.0105
attn_output@25
13.3714
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0.0082
ffn_down@25
13.3747
[ "blk.25.ffn_down.weight" ]
0.0115
ffn_gate@25+ffn_up@25
13.4064
[ "blk.25.ffn_gate.weight", "blk.25.ffn_up.weight" ]
0.0432
attn_k@26+attn_q@26+attn_v@26
13.3929
[ "blk.26.attn_k.weight", "blk.26.attn_q.weight", "blk.26.attn_v.weight" ]
0.0297
attn_output@26
13.378
[ "blk.26.attn_output.weight" ]
0.0148
ffn_down@26
13.3669
[ "blk.26.ffn_down.weight" ]
0.0037
ffn_gate@26+ffn_up@26
13.4079
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0.0447
attn_k@27+attn_q@27+attn_v@27
13.3714
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0.0082
attn_output@27
13.3597
[ "blk.27.attn_output.weight" ]
-0.0035
ffn_down@27
13.3677
[ "blk.27.ffn_down.weight" ]
0.0045
ffn_gate@27+ffn_up@27
13.3812
[ "blk.27.ffn_gate.weight", "blk.27.ffn_up.weight" ]
0.018
attn_k@28+attn_q@28+attn_v@28
13.3999
[ "blk.28.attn_k.weight", "blk.28.attn_q.weight", "blk.28.attn_v.weight" ]
0.0367
attn_output@28
13.3752
[ "blk.28.attn_output.weight" ]
0.012
ffn_down@28
13.3855
[ "blk.28.ffn_down.weight" ]
0.0223
ffn_gate@28+ffn_up@28
13.4116
[ "blk.28.ffn_gate.weight", "blk.28.ffn_up.weight" ]
0.0484
attn_k@29+attn_q@29+attn_v@29
13.3843
[ "blk.29.attn_k.weight", "blk.29.attn_q.weight", "blk.29.attn_v.weight" ]
0.0211
attn_output@29
13.367
[ "blk.29.attn_output.weight" ]
0.0038
ffn_down@29
13.3699
[ "blk.29.ffn_down.weight" ]
0.0067
ffn_gate@29+ffn_up@29
13.384
[ "blk.29.ffn_gate.weight", "blk.29.ffn_up.weight" ]
0.0208
attn_k@3+attn_q@3+attn_v@3
13.3383
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-0.0249
attn_output@3
13.3527
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-0.0105
ffn_down@3
13.3923
[ "blk.3.ffn_down.weight" ]
0.0291
ffn_gate@3+ffn_up@3
13.3997
[ "blk.3.ffn_gate.weight", "blk.3.ffn_up.weight" ]
0.0365
attn_k@30+attn_q@30+attn_v@30
13.4037
[ "blk.30.attn_k.weight", "blk.30.attn_q.weight", "blk.30.attn_v.weight" ]
0.0405
attn_output@30
13.3711
[ "blk.30.attn_output.weight" ]
0.0079
ffn_down@30
13.394
[ "blk.30.ffn_down.weight" ]
0.0308
End of preview. Expand in Data Studio

ASHQ1 damage labels + calibration

Sensitivity-sweep labels for the ASHQ1 battlefield: per-tied-group ΔPPL when dropping one group down, measured with llama-perplexity (wikitext-2-raw, ctx 1024, seed 7). Joint dataset with Soulfate24's knockout CSVs.

  • spark17_damage_q4.jsonl: Spark-X2.5-1.7B, Q5_K base → Q4_K drops (112 groups + BASELINE). Relative damage (÷ base PPL).
  • spark17_damage_q3.jsonl: same model, Q5_K base → Q3_K drops (112 groups + BASELINE).
  • Qwen3.8-27B-calibration-v6.txt: imatrix calibration set used for both Spark imatrix files (plain text).

Format per line: {"unit": "<type>@<layer>[+...]", "ppl": float, "damage": float} (relative), plus one {"unit": "BASELINE", "ppl": float}.

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