42 citations · 66 across the 3 of their papers we have counts for
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cs.AI2023★ 21 cited
The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets
Samuel Marks, Max Tegmark
Large Language Models (LLMs) have impressive capabilities, but are prone to outputting falsehoods. Recent work has developed techniques for inferring whether a LLM is telling the t…
cs.LG2023★ 42 cited
Language Models Represent Space and Time
Wes Gurnee, Max Tegmark
The capabilities of large language models (LLMs) have sparked debate over whether such systems just learn an enormous collection of superficial statistics or a set of more coherent…