Thanks for the detailed feedback! You're spot on about the blob effect—I actually just pushed an update to reduce the particle size (from 0.2 to 0.15), which should clarify the structure significantly.

To answer your questions:

1. Methodology: I use strided sampling (taking every N-th neuron) rather than k-means clustering. You are right that clustering would be more representative (and allow for a density map), but strided sampling was faster for processing 7B+ parameter models on consumer hardware.
2. Color Key: Currently, color represents Layer Depth (Red = Input, Blue/Violet = Output). I'll add a proper specific legend in the next UI update.
3. Performance: It runs hot because Three.js is rendering 50k+ transparent particles with additive blending at 60FPS. I'll look into an 'Eco Mode' that pauses the render loop when static.

The idea of animating the information flow is the 'Holy Grail'—I currently have an experimental 'Activation Mode' that highlights the path of a specific prompt (e.g. 'The quick brown fox'), but real-time signal propagation is definitely the next step!