A Hacker News post showcasing an LLM attention visualization tool hosted at ishamf.dev. The project allows users to visualize how attention mechanisms work in large language models, likely providing an interactive way to understand token-to-token attention patterns.
Background
Attention visualization tools have become increasingly popular as the AI community seeks to understand the inner workings of transformer-based language models. Projects like this typically allow researchers and enthusiasts to inspect attention weights across layers and heads.
- Source
- Hacker News (RSS)
- Published
- Sep 9, 2026 at 12:59 AM
- Score
- 5.0 / 10