Show HN: LexFrame – Break the ceiling of Anthropic's J-lens in reading LLMs

Category: ai-ml

Tags: interpretability, llm, mechanistic-interpretability, residual-streams, huggingface

Score: 6.3/10 (Innovation: 7, Technical: 7, Documentation: 5, Utility: 5)

LexFrame is a toolkit for interpreting language model residual streams by transporting hidden states through the model's remaining layers and reading them in the model's own vocabulary, instead of applying a fixed lens per layer. It enables layer-by-layer attribution and steering of predictions, and claims to surface known information from much earlier layers than logit or Jacobian lenses.

Target audience: AI/ML researchers, mechanistic interpretability practitioners, NLP engineers

Repository: https://pypi.org/project/lexframe/

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