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Sparse autoencoders for interpretability with SAELens v1.0.0
Use this resource to analyze model activations with sparse autoencoders
New
- 478 downloads
- 114 likes
- 134 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install sparse-autoencoder-interpretabilityWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent loads a pretrained sparse autoencoder or trains one with SAELens, encodes the model's activations and examines the resulting features. You get analysis code and a way to study superposition.
Mostly picked by
Updated November 2, 2026
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Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: core concepts, installation and the loading and analysis workflow
- references/api.md: the SAELens interface
- references/tutorials.md: feature analysis tutorials
Good fit for
- You look for interpretable features in a language model
- You study neuron superposition
Not for
Tags
- interpretability
- saelens
- autoencoder
- superposition
About
You say
“Load a pretrained SAE for this model and list the most active features on my set of sentences.”
Skill published by davila7 under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to analyze model activations with sparse autoencoders
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/api.md7.1 KB
- references/README.md2.2 KB
- references/tutorials.md9.5 KB
- SKILL.md12.9 KB
Origin and licence
Listed unmodified
- Author
- davila7
- Source
- github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/mechanistic-interpretability-saelens
- Licence
- MIT
Notice
« mechanistic-interpretability-saelens » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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