The Treewalker tool evaluates parametric brand associations by extracting exponential log-probabilities (math.exp(log_probability) * 100) from model tokens, establishing concrete certainty percentages for each generated item. By pairing these confidence values with a branch walking pipeline, the system explores alternative token paths above configurable probability thresholds, using multi-run aggregation across independent samples to map both dominant and latent semantic connections in the model's weights.