Papers with clean and causal interventions

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Mechanistic Analysis Of Universality: Numerical Comparison Circuits Across Transformer Architectures (2026.acl-srw)

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Challenge: Mechanistic interpretability seeks to identify internal circuits within transformer language models but it is unclear whether they generalize across model families and scales.
Approach: They propose to identify internal circuits within transformer language models by numerical comparisons.
Outcome: The proposed model implementations are consistent across architecture and scale, the authors show . their results highlight the need for cross model comparisons to claim generalization of internal circuits.

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