Transformer-based Large Language Models (LLMs) are capable of extracting information from previous tokens during the generation phase. A new web tool released by a developer makes it possible to visually confirm the operation of this Attention Mechanism.
Web Tool Released to Visualize LLM Attention Mechanisms
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Utilizing Transformers.js, this tool generates text within the browser while calculating and displaying the attention weights for each token. When a user hovers the cursor over a token in the generated text, the opacity of the previous tokens that contributed to that generation changes, allowing the user to understand which information was referenced.
For example, when accurately outputting information such as addresses or dates, the source data is highlighted within the tool. The process of combining information from multiple phrases to generate new words can also be visually observed. This tool employs a system that loads customized models via Hugging Face to enable the extraction of data necessary for visualization.
Sources
- Show HN: LLM Attention Visualization （Hacker News Frontpage, 2026-09-08）