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20192026
most citedUniversal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment

1 citations · 1 across the 3 of their papers we have counts for

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cs.CV2026

What, Where, and How: Probing Spatiotemporal Representations in Video Foundation Models

Sharon S. Musa, Fereshteh Forghani, Harrish Thasarathan +3

Self-supervised video foundation models learn rich spatiotemporal representations, yet it remains unclear what visual concepts these representations encode, where they emerge acros…