Each row is a feature cluster — a group of internal features a sparse-autoencoder lens found firing together, named automatically from the text that switches it on. For each cluster, the bars compare what the preference data predicted (turn this theme up or down) against what the aligned model actually did on its own answers. Select a cluster to read the real winning and losing answers that define it. Start with numbered-list formatting, the strongest and most consistent change.