Ali Zakeri
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2026
Residualized Temporal Sparse Autoencoders for Interpreting Diffusion Models
The paper introduces residualized temporal Sparse Autoencoders (SAEs) to analyze the full spatiotemporal structure of activations generated during the iterative denoising process of diffusion models, providing a richer understanding than analyzing single timesteps.
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cs.CVcs.AIcs.LGRecentMay 27, 2026
Residualized Temporal Sparse Autoencoders for Interpreting Diffusion Models
Calvin Yeung, Prathyush Poduval, Ali Zakeri, Zhuowen Zou +1 more
The paper introduces residualized temporal Sparse Autoencoders (SAEs) to analyze the full spatiotemporal structure of activations generated during the iterative denoising process of diffusion models,…
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