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sae-lens

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nshkrdotcom / mwb

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Mechanistic Workbench (mwb): Local-first mechanistic interpretability workbench for IPython research, agent-readable state, artifact validation, evidence graphs, claim-safe MechanismCards, provenance, run ledgers, SAE/TransformerLens workflows, and reproducible MI experiments

python jupyter ipython sparse-autoencoders ai-safety sae interpretability experiment-tracking mechanistic-interpretability agentic-workflows llm-interpretability ml-research transformer-lens nshkr-ai-infra research-provenance sae-lens claim-safety artifact-validation evdience-graph
  • Updated Jun 27, 2026
  • Python

adityam23 / ai-safety-playground

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A monorepo of AI safety experiments: sparse autoencoders on gelu-2l with activation steering, explainable AI on Kickstarter data using SHAP and LIME, and activation oracles on Qwen2.5-0.5B.

transformers pytorch xgboost lora sparse-autoencoders ai-safety lime explainable-ai mlops mlflow shap mlflow-tracking mechanistic-interpretability qwen activation-steering transformer-lens ai-safety-research sae-lens gelu-2l activation-oracles
  • Updated Jun 4, 2026
  • Python

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