CRANE: Causal Relevance Analysis of Language-Specific Neurons in Multilingual Large Language Models

Researchers introduce CRANE, a new framework for analyzing how multilingual large language models organize language capabilities at the neuron level. The method uses targeted interventions to identify language-specific neurons based on functional necessity rather than activation patterns, revealing asymmetric specialization where neurons contribute selectively to specific languages while maintaining broader functionality.