Strengthening Target-Language Features: SAE-Based Steering for Multilingual Inference
An inference-time multilingual steering method that uses pretrained sparse autoencoders to identify and strengthen target-language-related features that are decoded into steering signals and injected into the model's hidden states without additional training is proposed.
Hongsheng Wang, Philipp Koehn
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