NeurIPsMay1234/openpi-interpretability-data

openpi-interpretability-data Interpretability artifacts (activations, conceptors, linear steering vectors, sparse autoencoder vectors and checkpoints) extracted from open vision-language-action (VLA) policy models on the LIBERO, MetaWorld, and RoboCasa benchmarks. This dataset accompanies an anonymous submission and is shared for double-blind peer review. Models and benchmarks Model Family Benchmarks pi0_5 (pi05) π-series VLA LIBERO pi0_fast (pi0fast)… See the full description on the dataset page: https://huggingface.co/datasets/NeurIPsMay1234/openpi-interpretability-data.

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