Interpretability research: LLMs plan many words ahead instead of just predicting the next one
mlpowered · x · 2026-10-19
A popular explainer thread from mlpowered on LLM interpretability: why can word-by-word models solve hard math and write coherent essays? Looking inside the models, researchers find dedicated parts that represent future plans — the model works backwards from a planned goal to pick each next word, resolving the apparent contradiction between next-token prediction and complex reasoning.
Related event: Interpretability Research Shows LLMs Plan Ahead Before Generating Words(2 posts)→
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