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Mechanistic Interpretability Benchmark
university
https://mib-bench.github.io
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Principled evaluation of mechanistic interpretability methods.
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AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
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LLMs Encode Harmfulness and Refusal Separately
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Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
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