structural-linguistics

SLAM is a novel white-box watermarking scheme that embeds marks into the structural geometry of LLM residual streams using sparse autoencoders, achieving 100% detection accuracy with minimal quality loss on Gemma-2 models, avoiding the token-distribution biasing of prior methods.