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Mechanistic Interpretability Benchmark

university
https://mib-bench.github.io
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AI & ML interests

Principled evaluation of mechanistic interpretability methods.

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hij  authored a paper 4 days ago
AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
hij  authored a paper 4 days ago
LLMs Encode Harmfulness and Refusal Separately
hij  authored a paper 4 days ago
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
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mib-bench 's collections 1

MIB Datasets
The tasks and counterfactuals from the Mechanistic Interpretability Benchmark.
  • mib-bench/ioi

    Viewer • Updated May 29 • 21k • 1.45k
  • mib-bench/copycolors_mcqa

    Viewer • Updated Jan 16 • 1.89k • 479
  • mib-bench/arithmetic_addition

    Viewer • Updated May 31 • 40.4k • 83
  • mib-bench/arithmetic_subtraction

    Viewer • Updated May 31 • 20.9k • 23
MIB Datasets
The tasks and counterfactuals from the Mechanistic Interpretability Benchmark.
  • mib-bench/ioi

    Viewer • Updated May 29 • 21k • 1.45k
  • mib-bench/copycolors_mcqa

    Viewer • Updated Jan 16 • 1.89k • 479
  • mib-bench/arithmetic_addition

    Viewer • Updated May 31 • 40.4k • 83
  • mib-bench/arithmetic_subtraction

    Viewer • Updated May 31 • 20.9k • 23
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