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Strengthening Target-Language Features: SAE-Based Steering for Multilingual Inference
Multilingual large language models exhibit substantial performance differences across languages, while existing adaptation methods often require parameter updates and considerable multilingual training data. We propose an inference-time multilingual steering method that uses pretrained sparse autoen
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