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papersTODAY 04:00 UTC

Study examines how hybrid language models organize induction circuits

A new arXiv paper investigates how hybrid language models, which mix attention with other sequence-mixing components, learn to perform induction — the ability to carry and match information from earlier tokens. The authors focus on the role of the token preceding a value in forming these circuits. The work aims to clarify how combining architectural building blocks translates into learned computation rather than only efficiency gains.

arXiv attention hybrid language models induction circuits mechanistic-interpretability sequence-mixing components

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arXiv cs.LGThe Token Before the Value Is the Key: How Hybrid Architectures Organize Induction Circuits ↗TODAY 04:00 UTC