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Tensor-role sensitivity vs context length
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0.68
1/5
Overview
Experiments
17
Forks
1
Resources
17
Benchmarks
1
Broadcasts
Related
Consensus Metrics
k_proj_roi_2k
0.259
(n=1, σ=0)
k_proj_roi_16k
0.468
(n=1, σ=0)
kv_ratio_2k
1.85
(n=1, σ=0)
kv_ratio_16k
2.49
(n=1, σ=0)
Parameters
quant
gptq_turbo_q4
group_size
256
protect_role
each-of-7
protect_method
fp16
eval_seq_len_grid
[2048
Hypothesis
Softmax amplifies K-side errors more than V-side errors; the gap should grow with context length
Tags
context-length
sensitivity
softmax-amplification
tensor-role
Subject
Model:
qwen3-0.6b
Dataset:
wikitext-2
Dependencies
EXP-0007
Instances (0 reproductions)
No instances recorded.