concept
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concept:masked-autoencodersMasked Autoencoders
Self-supervised learning method that optimizes reconstruction tasks; included in the paper's analysis as a multi-task objective
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Papers (1)
paper
Hypotheses (1)
hypothesis
- Multitask Scaling HypothesissupportsArgues that there are fewer representations competent for N tasks than M<N tasks, so more general models have a smaller solution space
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
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- An unsupervised method for generating natural language explanations of LLM activations through a verbalizer-reconstructor pair trained jointly with RL.
- Decomposition method for activations; VPD is compared against transcoders in sparsity-reconstruction tradeoff.