# Index — example-vault

_Updated 2026-04-10 • 4 pages_

> Content catalog. Read this first when answering queries.
> Topic: **LLM Interpretability**

## Synthesis (1)
- [[synthesis/interpretability-overview|Interpretability Overview]] — current thesis on mechanistic interpretability in LLMs _(1 source · upd 2026-04-10)_

## Concept (1)
- [[concepts/sparse-autoencoder|Sparse Autoencoder]] — dictionary-learning method for decomposing polysemantic neurons into monosemantic features _(1 source · upd 2026-04-10)_

## Entity (1)
- [[entities/anthropic|Anthropic]] — AI safety company, developer of Claude; major contributor to interpretability research _(1 source · upd 2026-04-10)_

## Source (1)
- [[sources/monosemanticity|Towards Monosemanticity]] — Anthropic 2024 paper using sparse autoencoders to extract interpretable features from a one-layer transformer _(upd 2026-04-10)_
