Show HN: Interactive LLM Attention Visualizer

Developer Isham has introduced an interactive browser-based visualizer designed to demystify LLM attention mechanisms. The tool renders high-dimensional weight matrices across individual layers and heads into clear token connections and heatmaps, letting users inspect how intermediate representations form during inference. It offers an accessible window into the inner workings of Transformer architectures without requiring heavy local setups.