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The Emergence and Sparsification of a Syntactic Circuit
Qing Yao, Sasha Boguraev, Tiago Pimentel, Kyle Mahowald

The Emergence and Sparsification of a Syntactic Circuit

Computer Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

To understand the emergence of grammatical behavior in language models, we track circuits for subject-verb number agreement in pythia-1b and ten seeds of pythia-410m across training. We find that subject-verb agreement is learned early, and is initially handled by a diffuse collection of neurons. However, after agreement behavior has stabilized, the mechanisms responsible for it continue to reorganize. The attention heads which mediate agreement often shift during training: in the case of pythia-1b, behavior is controlled by two heads early in training but by a third (different) head later. Furthermore, the circuit shrinks over training, with pythia-1b's final circuit being strikingly sparse. We take these results to be informative about how linguistic knowledge emerges and is represented in a language model.

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Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title The Emergence and Sparsification of a Syntactic Circuit
Author / Organization Qing Yao, Sasha Boguraev, Tiago Pimentel, Kyle Mahowald
Subject & Discipline cs.CL
Categories Computer Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-116553
Original Source Link Visit Source Page on arxiv.org »