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Study finds punctuation and function words carry outsized context in LLM memory
A new arXiv paper introduces methods to measure how large language models store and encode contextual information. The authors report that tokens usually treated as trivial, such as determiners and punctuation marks, hold unexpectedly high contextual weight, and that removing them measurably affects model behavior. The work offers a way to probe internal context retention in transformers.