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llm-atlas/experiments/k3/attnres_local_path/README.md
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# Attention Residuals local mixer-path diagnostics
This directory implements preregistered protocol
`llm-atlas-k3-attnres-local-path-v1`.
It is a targeted follow-up to Round 06. It exact-replays the same depth-32
Block training and keeps the learned forward unchanged while switching source
value-gradient coefficients only at frozen mixer scopes. It is not a Kimi K3
checkpoint run, a trainable variant, an additive attribution, or a reproduction
of unpublished Figure 5 telemetry.
## Frozen environment
```text
Python /home/wuyang/.pyenv/versions/3.10.14/envs/navi-router-cu128/bin/python
PyTorch 2.11.0+cu128
GPU NVIDIA GeForce RTX 5090
CUBLAS_WORKSPACE_CONFIG=:4096:8
```
The runner and exact commands will be added after this preregistration
manifest is committed. No result file may precede that commit.