How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability
ICLROral2026
TL;DR
Semantic associations such as the link between "bird" and "flew" are foundational for language modeling as they enable models to go beyond memorization and instead generalize and generate coherent text. Understanding how these associations are learned and represented in language models is essential for connecting deep learning with linguistic th...
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Topics
interpretability language model transformer