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Zishan-Shao/
decodeshare

interpretability

mechanistic-interpretability

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DecodeShare

Large artifacts for DecodeShare: Tracing the Shared Pathways of LLM Decode-Time Decisions.

The corresponding GitHub release branch is:

https://github.com/Zishan-Shao/decodeshare/tree/Halo

This Hugging Face repository is intended for files that should not live in Git history:

decode-time activation caches
shared-subspace bases
patchback result archives
downstream compression outputs, with oversized profiling caches stored as .pt.part-* chunks
selected steering vectors and cached candidate pools
rebuttal mechanism and scaling artifacts that are too bulky for the main GitHub branch

The GitHub branch tracks compact code, scripts, summaries, and the full artifact manifest at:

docs/artifact_manifest.tsv

Suggested layout:

text

artifacts/
  Hype1/results/acts/
  patch_back/results/
  downstream/outputs/
  rebuttal/
  results/rebuttal_mechanism/
  results/rebuttal_scaling/

The 2026-05-10 rebuttal upload is summarized in:

docs/REBUTTAL_UPLOAD_2026-05-10.md

Install the Hugging Face CLI and upload from the original workspace:

bash

pip install -U huggingface_hub[hf_transfer]
hf auth login
cd /path/to/decodeshare
hf upload Zishan-Shao/decodeshare Hype1/results/acts artifacts/Hype1/results/acts
hf upload Zishan-Shao/decodeshare patch_back/results artifacts/patch_back/results

For downstream profiling caches, use the split-file workflow in docs/HUGGINGFACE_UPLOAD.md. Reassembly notes are included under artifacts/downstream/outputs/SPLIT_FILES.md after upload.

Model and dataset licenses remain governed by their upstream providers.