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bag100/
action-atlas-xvla

feature-extraction

cc-by-4.0

1K<n<10K

mechanistic-interpretability

sparse-autoencoder

vision-language-action

robotics

interpretability

xvla

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Action Atlas: X-VLA sparse autoencoders and concepts

Sparse autoencoders (SAEs) and identified concepts for X-VLA, part of the Action Atlas release accompanying the paper on cross-task activation injection in vision-language-action models. The interactive explorer is at https://action-atlas.com.

What is here

saes/ TopK SAEs (k=64, 8x expansion) over the X-VLA (soft-prompted Florence-Large), 24 layers, 1024-dim. Arms present: per-token 48, mean-pool 48. Per-token… See the full description on the dataset page: https://huggingface.co/datasets/bag100/action-atlas-xvla.