withmartian/wayfinder

Wayfinder Wayfinder is a research artifact dataset for studying how mechanistic-interpretability-inspired methods affect open language-model behavior across benchmarks. The dataset stores reproducible experiment outputs from the Wayfinder GitHub repo (https://github.com/withmartian/wayfinder). Each run evaluates a model x benchmark x method(s) x temp configuration and records aggregate scores, benefit metrics, per-sample responses, per-sample scores, provenance, generation… See the full description on the dataset page: https://huggingface.co/datasets/withmartian/wayfinder.

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