C. A. H. Watts
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View article: Mechanistic evidence that motif-gated domain recognition drives contact prediction in protein language models
Mechanistic evidence that motif-gated domain recognition drives contact prediction in protein language models Open
Protein language models (pLMs) achieve state-of-the-art performance on protein structure and function prediction tasks, yet their internal computations re-main opaque. Sparse autoencoders (SAEs) have been used to recover sparse features, c…
View article: Large language models can learn and generalize steganographic chain-of-thought under process supervision
Large language models can learn and generalize steganographic chain-of-thought under process supervision Open
Chain-of-thought (CoT) reasoning not only enhances large language model performance but also provides critical insights into decision-making processes, marking it as a useful tool for monitoring model intent and planning. However, recent w…