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…
Fully client-side GPT2 prediction visualizer launched on September 5, 2023 with 153 votes, #317 of 4,228 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
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
I built this little tool to help me understand what it
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…
Does a similar job
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ChainForge, a visual tool for prompt engineering and LLM evaluation2023 · chainforge.ai · ▲177Hi HN! We’re been working hard on this low-code tool for rapid prompt discovery, robustness testing and LLM evaluation. We’ve just released documentation to help new users learn how to use it and what it can already do. Let us know what you think! :)
LLM Attention VisualizationSep 2026 · ishamf.dev · ▲176I often need to convert times between time zones, so I built this tool to convert between them quickly and efficiently. 1. Add the cities you want to convert between (this is saved in the browser). 2. Drag on the map until the time on the source city is the time you want. 3. Look at the time at the other city. It's even more helpful to use on a phone since it doesn't require typing to convert between time zones or look up the time in another city (assuming you already added the cities you care about). If you need to convert a time far in the future, you can input the date and time in the…
- MIMicrogpt is a GPT you can visualize in the browserFeb 2026 · microgpt.boratto.ca · ▲282
very much inspired by karpathy's microgpt of the same name. it's (by default) a 4000 param GPT/LLM/NN that learns to generate names. this is sorta an educational tool in that you can visualize the activations as they pass through the network, and click on things to get an explanation of them.

Interactive 3D and 2D Visualization of GPT-2Mar 2026 · llm-visualized.com · ▲12I’ve been building an interactive 3D + 2D visualization of GPT-2. It displays real activations and attention scores extracted from GPT-2 Small (124M) during a forward pass. The goal is to make it easier to learn how LLMs work by showing what is happening inside the model. The 3D part is built with Three.js, and the 2D part is built with plain HTML/CSS/JS. Would love to hear your thoughts or feedback!
YourGPT 2.0Nov 2025 · yourgpt.ai · ▲215Today we are launching YourGPT 2.0, an update focused on making support, sales, and operational workflows work together more smoothly in one system. This release improves how workflows are built, how the platform connects to external tools, and how context is maintained across long, multi-channel interactions. AI Studio now makes it much easier to create and refine workflows. You can describe the process you want in natural language and the system generates the full workflow for you. It can also help debug issues by showing what happened at each step and explaining where things went off…
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Source: Show HN post ↗ · launch text quoted in part