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arXiv CS.AI
6/24/2026
LM Agents explain neural network

LM Agents explain neural network

Original: Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?

Short summary

LM agents can explain neural network circuits through iterative hypothesis generation and causal validation. A new benchmark with 163 annotations shows the approach works across LM backbones, though validation failures remain the main blocker for practical adoption.

  • •HyVE framework uses LM agents to iteratively explain circuit components through observation and validation
  • •AgenticInterpBench introduces 163 annotations across 84 semi-synthetic transformer circuits
  • •Strong backbones succeed in hypothesis formation but often fail during validation—key obstacle to practical use

Generated with AI, which can make mistakes.

#research-breakthrough#ai-agents#ai-tools
Read full article at arXiv CS.AI

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