@orchestra-research/transformer-lens-interpretability
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.
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To add a demo, ask your AI agent: "Submit a demo for @orchestra-research/transformer-lens-interpretability"
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