AI Research
Linear Probes to Bayesian Manifolds: Geometry of Arithmetic in Large Language Models
What geometric patterns in model activations can—and cannot—show
Linear probes are a standard method to study geometric structures, such as helices and circles, from the activations of large language models (LLMs), and such structure is often taken as evidence that the model computes with it.
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ArXiv CS.LG
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2 min
ArXiv CS.LG
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Generated insight by OnAirToday AI
How researchers interpret patterns in LLM activations affects what they conclude about the models’ internal computations. The distinction matters because observed geometry is often treated as evidence of computation, though the source does not establish that it proves it.
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