Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy
- URL: http://arxiv.org/abs/2605.12991v2
- Date: Sat, 16 May 2026 19:42:13 GMT
- Title: Not Just RLHF: Why Alignment Alone Won't Fix Multi-Agent Sycophancy
- Abstract summary: We find that pretrained base models exhibit the same substitution pattern as their Instruct variants, averaging higher yield than Instruct.<n> patching above this window restores 96% of the clean-to-pressured P(correct) gap.<n>Two converging activation-space interventions show that pressure suppresses clean-reasoning features rather than activating a new sycophancy circuit.
- Score: 0.7212939068975618
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: LLM-based multi-agent pipelines flip from correct to incorrect answers under simulated peer disagreement at rates we term yield, a vulnerability widely attributed to RLHF-induced sycophancy. We test this attribution across four model families and find it largely wrong: pretrained base models exhibit the same substitution pattern as their Instruct variants, averaging higher yield than Instruct. Using activation patching, we localize the corruption to a narrow mid-layer window where attention carries the causal weight and MLP contribution is negligible; patching above this window restores 96% of the clean-to-pressured P(correct) gap. The attack surface decomposes into two independent factors (channel framing and consensus strength) whose interaction produces a 47.5 percentage-point yield gap at majority consensus, preserved across jury sizes $N \in \{4, 5, 6\}$. Two converging activation-space interventions show that pressure suppresses clean-reasoning features rather than activating a new sycophancy circuit. A single correctly-arguing dissenter reduces yield by 54-73 percentage points across all framings tested, whereas the strongest prompt-level defense fails on attack variants outside its design surface. Mitigations should target the mechanism, structured dissent at the pipeline level, rather than prompt-level defenses.
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