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cs.LG2026
LLMs program using Reusable and Composable Abstract Representations
Casper L. Christensen, Kyle J. Ray, Dmitry Manning-Coe +2
When writing code, the same computation can be expressed in different programming languages and through different implementation strategies. We show that the activations of LLMs ca…
cs.LG2026
Transformers learn factored representations
Adam Shai, Loren Amdahl-Culleton, Casper L. Christensen +6
Transformers pretrained via next token prediction learn to factor their world into parts, representing these factors in orthogonal subspaces of the residual stream. We formalize tw…