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activation-steering

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Gaurav711cgu / NeuroScope

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A mechanistic interpretability workstation that maps neuron activations and polysemantic features across LLaMA and GPT-2 weights using Sparse Autoencoders (SAEs) and TransformerLens. Patch-isolates the Indirect Object Identification circuit to verify linear Taylor approximations through an interactive dashboard. (326 characters)

postgresql telemetry python3 pytorch circuit-analysis sparse-autoencoders ai-safety sae asyncpg linear-probing ai-alignment fastapi mechanistic-interpretability representation-engineering activation-steering gemma-scope transformer-lens
  • Updated Aug 7, 2026
  • JavaScript

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