sparse-autoencoder-training SKILL.md skillA
sparse-autoencoder-training from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/sparse-autoencoder-training@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
04-mechanistic-interpretability/saelens/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Dec 17, 2025
- Size
- 12,754 bytes
- Repository stars
- 13,718
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# SAELens: Sparse Autoencoders for Mechanistic Interpretability 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. **GitHub**: [jbloomAus/SAELens](https://github.com/jbloomAus/SAELens) (1,100+ stars) ## The Problem: Polysemanticity & Superposition Individual neurons in neural networks are **polysemantic** - they activate in multiple, semantically distinct contexts. This happens because models use **superposition** to represent more features than they have neurons, making interpretability difficult. **SAEs solve this** by decomposing dense activations into sparse, monosemantic features - typically only a small number of features activate for any given input, and each feature corresponds to an interpretable concept. ## When to Use SAELens **Use SAELens when you need to:** - Discover interpretable features in model activations - Understand what concepts a model has learned - Study superposition and feature geometry - Perform feature-based steering or ablation …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/sparse-autoencoder-training@sha256:3af1fa0e513a96c9The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ztjlkcovrfusur7m)
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Versions
The registry has recorded 1 version of this file, committed on Dec 17, 2025.
Audit of the latest version
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- pass: Frontmatter declares a description
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- pass: No instruction to send local credentials anywhere
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Source
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ztjlkcovrfusur7m GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/sparse-autoencoder-training GET https://markdownregistry.com/api/v1/blob/3af1fa0e513a96c953f4fbd28b1a6cd764fa9c27e512c6f0cfd2b80c2a1706ae
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.