sparse-autoencoder-training
From the author
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.
Install
npx skills add KalarisLabs/research-agent-skills --skill sparse-autoencoder-training -a claude-code
Installs to .claude/skills/sparse-autoencoder-training/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 82
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