Overview
sparse-autoencoder-training is an open-source productivity skill for Claude Code and compatible agents, published by Orchestra-Research. Its author describes it as: “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 superpo…”. The project has 12k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add Orchestra-Research/AI-Research-SKILLs`.
What sparse-autoencoder-training does
SAELens is the primary library for training and analyzing Sparse Autoencoders (SAEs) - a technique for decomposing polysemantic neural network activations into sparse, interpretable features. Based on Anthropic's groundbreaking research on monosemanticity.
What’s inside
The SKILL.md for sparse-autoencoder-training is organised into these sections:
- The Problem: Polysemanticity & Superposition
- When to Use SAELens
- Installation
- Core Concepts
- What SAEs Learn
- Key Validation (Anthropic Research)
- Workflow 1: Loading and Analyzing Pre-trained SAEs
- Step-by-Step
- Available Pre-trained SAEs
- Checklist
- Workflow 2: Training a Custom SAE
- Key Hyperparameters
Installation
Add sparse-autoencoder-training to your agent with:
/plugin marketplace add Orchestra-Research/AI-Research-SKILLsReview a skill’s source before installing it — skills can instruct your agent to run commands. This command comes from the skill’s public repository, which is the source of truth for setup steps. New to skills? Read how to install Claude Code skills.
Supported agents
- Claude Code — ships a claude code plugin marketplace
- Codex — declared in the repository topics
License
sparse-autoencoder-training is published under the MIT license.
Strengths
- Clear MIT license — safe to read and adapt within its terms
- Ships in Orchestra-Research/AI-Research-SKILLs, an established project with 11,807 GitHub stars
- Works with Claude Code, Codex
Author
Topics
Frequently asked questions
- What does sparse-autoencoder-training do?
- 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.
- How do I install sparse-autoencoder-training?
- Run /plugin marketplace add Orchestra-Research/AI-Research-SKILLs in your agent, then reload your skills. Review the source at https://github.com/Orchestra-Research/AI-Research-SKILLs before installing.
- Is sparse-autoencoder-training free to use?
- Yes. sparse-autoencoder-training is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Which agents does sparse-autoencoder-training work with?
- sparse-autoencoder-training lists Claude Code and Codex — named in its SKILL.md, its plugin marketplace or its repository topics. Skills use the portable SKILL.md format, so other agents that read that format may load it too.
- Where does sparse-autoencoder-training come from?
- sparse-autoencoder-training ships inside Orchestra-Research/AI-Research-SKILLs, a repository that contains 41 catalogued skills in total. The repository's 11,807 GitHub stars apply to that whole collection, not to this skill on its own.