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stacker news:
How Attention Sinks Keep Language Models Stable
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hanlab.mit.edu
How Attention Sinks Keep Language Models Stable
We discovered why language models catastrophically fail on long conversations: when old tokens are removed to save memory, models produce complete gibberish. We found models dump massive attention onto the first few tokens as "attention sinks"—places to park…