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This paper uses causal interventions to investigate syntactic mechanisms in multilingual language models, revealing cross-lingual transfer that is graded based on typological similarity.
This paper demonstrates that materials science mechanisms in the open-weight Gemma model can be identified and controlled through hidden state analysis, causal interventions, and counterfactual benchmarks, revealing that physical relationships are more visible in state transformations than in absolute states.