# Interactive Map to Explore GPT-2's Token Embedding Space Tap any token to explore GPT-2's language model. - **Source:** [r/MachineLearning](https://www.reddit.com/r/MachineLearning) - **Published:** 2026-07-18 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/0b3db045-1d9e-4a0e-962d-7415fb1b0437 ## Introduction This interactive map visualizes GPT-2's token embedding space. Users can tap any token and explore its nearest connections to better understand how the language model works. ## How It Works The map displays 32,070 alphabetic tokens from GPT-2-small's WTE. It is organized using the t-SNE algorithm over a compressed representation, with each line representing a real nearest relationship. ## User Experience Users can zoom in, tap any token, and explore its neighbors. The search box allows them to quickly jump to any token they are interested in. ## Mobile Compatibility The map works seamlessly on mobile devices. Users can pinch to zoom and navigate between tokens with ease. ## Technical Details The map is created using the minimum spanning tree method, ensuring that each line represents a real proximity relationship between tokens. ## Significance This tool is a valuable resource for those looking to understand how language models work. It sheds light on GPT-2's inner workings by visualizing relationships between tokens. ## Sources covering this story - https://www.reddit.com/r/MachineLearning/comments/1v09muj/interactive_map_of_gpt2s_token_embedding_space/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._