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TokenTown: A visual way to understand how LLMs work
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Overview
TokenTown visualizes a transformer language model as an isometric city, with each district representing a stage of the model. A convoy transports a hidden state through various processes, including tokenization, vector casting, and layer processing, ultimately producing a probability distribution for token selection.
Summary from laurentiugabriel.github.io.
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laurentiugabriel.github.io
TokenTown: A visual way to understand how LLMs work
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Community reactions
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Hacker News · laurentiugabriel.github.io
Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-07-29.
- Concern: This doesn't help at all — the visual tool fails to clarify how LLMs work and seems buggy and confusing.
- Concern: The explanations are just typical hand-wavy LLM jargon, lacking clear, polished content that would genuinely aid understanding.
- Concern: It’s hard to grasp the concepts without prior knowledge, which makes this tool less accessible for average users.