A healthy brain has weights that shift gradually as new data comes in — it's learning. Big jumps usually mean a regime change happened and the brain adapted (good) or the brain over-fit to a recent run (bad).

Take snapshots regularly (or let the brain auto-snapshot during training). The first snapshot is your baseline. Compare current vs baseline to see what the brain has learned.

Up arrow on a positive-weight feature: "This feature predicts wins more strongly now."
Down arrow on a positive-weight feature: "This feature is becoming less reliable."
Sign flip (e.g. positive → negative): Big deal. The brain reversed its belief about this feature. Investigate why.