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Diminishing Returns of Data in Sparse Autoencoders: Functional Behavior does not Guarantee Feature Reproducibility

arXiv cs.LG ↗ · 2026-10-16 Cached

该论文研究了稀疏自编码器(SAEs)所需的最小激活数据量，发现功能行为(如重建)在较少数据下即可收敛，但特征级可复现性仍随数据持续提升，表明SAE训练可在匹配目标的前提下大幅降低数据成本。

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