English(EN) The Emergence and Sparsification of a Syntactic Circuit

Pythia语言模型开发用于语法一致性的稀疏电路

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-27 04:00

研究人员调查了语言模型中语法理解的发展，特别关注主谓数一致性。他们的研究跟踪了Pythia模型（Pythia-1B和Pythia-410M）在整个训练过程中负责此语法功能的神经电路。研究结果表明，主谓一致性在训练早期获得，并最初由广泛的神经元网络管理。随着时间的推移，这些机制会重组，负责一致性的注意力头会转移，并且在Pythia-1B中，负责的电路变得明显稀疏。 AI

影响为理解语言知识如何在语言模型中获得和表示提供了见解，可能为未来的模型架构提供信息。

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arXiv cs.CL TIER_1 English(EN) · Qing Yao, Sasha Boguraev, Tiago Pimentel, Kyle Mahowald · 2026-10-27 04:00

一个句法电路的涌现与稀疏化

arXiv:2610.33299v1 Announce Type: new Abstract: 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 ea…

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一个句法电路的涌现与稀疏化

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