Diminishing Returns of Data in Sparse Autoencoders: Functional Behavior does not Guarantee Feature Reproducibility
SAE reconstruction converges on far less data, but one-to-one feature matches keep rising with more tokens.
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SAE reconstruction converges on far less data, but one-to-one feature matches keep rising with more tokens.
Tex-Zero trains native 3D texture models from constructed 2D image planes, without real 3D assets.
Researchers show full reasoning traces provide limited benefit in LLM post-training, with heavily truncated or endpoint-only trajectories performing comparably.
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