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News/Visualizing LLM Latent Space Geometry Through Dimensionality Reduction
arxiv
PublishedJune 11, 2026 at 4:00 AM
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Visualizing LLM Latent Space Geometry Through Dimensionality Reduction

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arXiv:2511.21594v3 Announce Type: replace Abstract: Large language models (LLMs) achieve state-of-the-art results across many natural language tasks, but their internal mechanisms remain difficult to interpret. In this work, we extract, process, and visualize latent state geometries in Transformer-b

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