LLM Thought Visualization

In plain words

LLM Thought Visualization is an AI tool available on GitHub that visualizes the thinking processes of large language models. It displays how LLMs work through problems and generate responses by mapping their internal reasoning steps. The tool is designed for developers, researchers, and anyone interested in understanding how these models operate. It helps make the typically opaque decision-making of language models more transparent and interpretable.

written from the facts on this page · September 2026

From the sources

A real-time instrument for observing the verbal workspace of a language model as it reads, reasons, and speaks. Star us, and you will receive all release notifications from GitHub without any delay! Overview Recent work from Anthropic identified a small set of internal representations in language models — the J-space — that behaves like a global workspace: its contents can be verbally reported by the model, deliberately modulated, and are causally used for multi-step reasoning, while the surrounding majority of neural activity remains inaccessible to report. The identification tool is the Jacobian lens, which transports a residual-stream activation at any layer into the final-layer basis…from github.com

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