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I released the first public prototype of LIMEN Runtime Audit — feedback welcome

Reddit r/deeplearning1w4 min read

Hi everyone, I have just published the first public prototype of LIMEN Runtime Audit , a small open-source toolkit for inspecting layer-wise activation trajectories in open-weight language models. GitHub repository: https://github.com/jeanbosange-bit/limen-runtime-audit This is my first public GitHub repository, so feedback on the code, methodology, terminology and documentation would be genuinely valuable. What is the basic idea? Most LLM evaluations focus on the final output: Was the answer correct? Did the model follow the instruction? Was the output safe? What was the probability or perple

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