arXiv — NLP / Computation & Language · · 3 min read

Tracing mechanisms of sycophantic agreement in language models

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Computer Science > Computation and Language

arXiv:2609.35822 (cs)
[Submitted on 21 Sep 2026]

Title:Tracing mechanisms of sycophantic agreement in language models

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Abstract:Sycophantic agreement in language models refers to the tendency to overly affirm a user's stated beliefs or preferences, often at the expense of factual accuracy. Although it is widely recognized as an alignment failure, its underlying mechanisms remain poorly understood. In this work, we use causal mediation analysis to identify the mechanisms behind sycophantic agreement. We show that a stated opinion is incorporated into the residual stream of the final prompt token early, where it biases subsequent answer retrieval. A sparse set of early attention heads carries this opinion signal. Ablating these heads substantially reduces sycophancy while leaving factual accuracy largely intact. The same heads carry the opinion when it is explicitly stated, regardless of how it is phrased. When an opinion is not stated explicitly but instead conveyed through content-free pushback (e.g., ``Are you sure?"), we find a distinct set of heads that suppresses the model's original correct answer to promote a revised answer. By providing a mechanistic account of how opinions induce sycophantic agreement, this work takes a step toward developing more targeted and reliable alignment interventions.
Subjects: Computation and Language (cs.CL); Machine Learning (cs.LG)
Cite as: arXiv:2609.35822 [cs.CL]
  (or arXiv:2609.35822v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2609.35822
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Sixing Chen [view email]
[v1] Mon, 21 Sep 2026 23:45:42 UTC (7,790 KB)
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