LLM internal representations of placenames show measurable spatial autocorrelation, and sparse autoencoders extract a small number of geospatially interpretable features.
GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review
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Geospatial Mechanistic Interpretability of Large Language Models
LLM internal representations of placenames show measurable spatial autocorrelation, and sparse autoencoders extract a small number of geospatially interpretable features.