AI Research
Script Choice in LLMs: Evidence for Late-Layer Commitment
New research identifies that LLMs hold off on final script selection until the final stages of processing.
In this paper, we investigate how script knowledge is distributed across the layers of LLMs using two complementary interpretability methods: logistic regression probing and logit-lens analysis. Our probing experiments reveal a clear asymmetry: both the input script and the instr...
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ArXiv CS.CL
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ArXiv CS.CL
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This research reveals that LLMs delay final decisions on script choice until the later layers of the neural network. Understanding this late-stage commitment provides a deeper look into the dynamic internal reasoning processes of large language models.
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