sparse-autoencoder-training
Pass
Audited by Gen Agent Trust Hub on Oct 29, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill facilitates the download of pre-trained Sparse Autoencoder (SAE) weights and configuration files from HuggingFace using the
SAE.from_pretrainedmethod. - [EXTERNAL_DOWNLOADS]: The skill integrates with Weights & Biases (
wandb) for experiment tracking and logging training metrics, which involves network communication withwandb.ai. - [COMMAND_EXECUTION]: The documentation includes standard instructions for installing the necessary Python dependencies (
sae-lens,transformer-lens) using thepippackage manager. - [INDIRECT_PROMPT_INJECTION]: The skill processes user-supplied text strings through language models to analyze feature activations. While this represents a data ingestion surface, the skill does not expose high-privilege operations (like file system writes or shell command execution) to the results of this processing, making the risk negligible.
- [SAFE]: All referenced libraries (
sae-lens,transformer-lens) and external platforms (GitHub, HuggingFace, Neuronpedia, Weights & Biases) are well-known, legitimate tools within the machine learning and interpretability research community.
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