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_pretrained method.
  • [EXTERNAL_DOWNLOADS]: The skill integrates with Weights & Biases (wandb) for experiment tracking and logging training metrics, which involves network communication with wandb.ai.
  • [COMMAND_EXECUTION]: The documentation includes standard instructions for installing the necessary Python dependencies (sae-lens, transformer-lens) using the pip package 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.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 29, 2026, 09:07 PM