Fully client-side GPT2 prediction visualizer
Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…
In plain words
This tool visualizes how GPT-2 predicts text, running entirely in the browser without server computation. It helps users understand how language models process text by showing prediction patterns, tokenization effects, and task difficulty. The tool is designed for researchers and developers wanting to build intuition about how GPT-style models interpret and predict language, with particular focus on how repetition and patterns influence model behavior.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably won't fix, since this was a kind of one-off project) - Doesn't work well with Unicode grapheme clusters that are multiple GPT-2 tokens (e.g. emoji, smart quotes) - Support for other models (maybe later?)
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