> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# sparse-autoencoder-training — AI agent skill for ml evaluation and safety

> Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features.

# `sparse-autoencoder-training`

> Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.

**Category:** [ml-evaluation-and-safety](/research-agent-skills/skills#ml-evaluation-and-safety) · **License:** MIT · **Version:** 1.0.0

## Install

```bash theme={null}
npx research-agent-skills install sparse-autoencoder-training
npx skills add KalarisLabs/research-agent-skills --skill sparse-autoencoder-training
```

## When to use it

Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.

## Full playbook

Read [SKILL.md](https://github.com/KalarisLabs/research-agent-skills/blob/main/skills/sparse-autoencoder-training/SKILL.md) for the complete workflow, references and any scripts. The agent installer copies the full skill folder.


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