decodeshare / README.md
Zishan Shao
Add lighthouse rebuttal artifacts
1c8e365
---
license: mit
tags:
- interpretability
- mechanistic-interpretability
- activation-steering
- llm
- kv-cache
- icml-2026
---
# DecodeShare
Large artifacts for **DecodeShare: Tracing the Shared Pathways of LLM
Decode-Time Decisions**.
The corresponding GitHub release branch is:
```text
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:
```text
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:
```text
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.