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.
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- Repository
- synthetic-sciences/openscience
- Last source activity
- September 16, 2026 at 06:26
- Detected SKILL.md language
- English
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- 4,370
- Forks
- 550
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SKILL.md
Source instructions · Read-only preview| name | sparse-autoencoder-training |
|---|---|
| description | 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. |
