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JShollaj/awesome-llm-interpretability resource

A curated list of Large Language Model (LLM) Interpretability resources. observed · 2026-08-28

github.com/JShollaj/awesome-llm-interpretability 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
JShollaj/awesome-llm-interpretabilitymain70

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