Based on this comment 4 from the repository, it seems the final activations are only used during prediction, not training:

apply final_activation (i.e. Sigmoid or Softmax) only during prediction. During training the network outputs logits and it’s up to the user to normalize it before visualising with tensorboard or computing validation metric

so the observed values seem reasonable for logits.