JShollaj/awesome-llm-interpretability resource
A curated list of Large Language Model (LLM) Interpretability resources. observed · 2026-08-28
Health v2 · maintenance only
70/100
- Activity 97
- Release rhythm 35
- Longevity 70
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 984
- days_rel: n/a
- days_push: 23
- n_releases_24m: 0
Adoption not part of the score
1644 stars · 118 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated awesome-list of Large Language Model (LLM) interpretability resources, including tools, papers, articles, and research communities. It serves as a reference index rather than a runnable software artifact.
Use cases
- find tools for interpreting LLM behavior
- discover papers on mechanistic interpretability
- learn how to analyze transformer attention and neurons
- find communities researching AI interpretability
- locate sparse autoencoder and activation analysis resources
- get started with LLM explainability research
When to choose
- you want a curated starting point for LLM interpretability research
- you need to discover tools, papers, and communities in one place
- you are exploring explainability and mechanistic interpretability for transformers
When to avoid
- you need a runnable library or tool rather than a resource list
- you need production interpretability features out of the box
- you need guaranteed maintenance or licensing since it is just a curated list
Facets
learning-resource · maturity active
developer-tools large-language-models machine-learning awesome-lists tutorials cross-platform awesome-list interpretability mechanistic-interpretability explainability curated-resources
1 source
- readme: https://github.com/JShollaj/awesome-llm-interpretability · fetched 2026-08-28 · a7ebd5f105be
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| JShollaj/awesome-llm-interpretability | main | 70 |
For agents
markdown · JSON · MCP: product_card(name="JShollaj/awesome-llm-interpretability")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem