How to read this view
Brightness shows activation. Hidden layers use a fixed exponential scale controlled by exposure. Predictions use absolute probability. Negative logits have dark fill and a bright outline.
Overview samples up to six evenly spaced channels per convolution. Focus reveals every channel. All visible feature maps update together from the latest inference. Overview lines show sampled receptive fields and four strongest weights per dense neuron; brightness follows absolute input contribution.
Dense lines show the top 12 terms for the selected neuron. Solid = positive weight, dashed = negative. Softmax is a shared normalization, not a learned connection.