Bambi logistic regression, prior and posterior distributions of probabilities

I think your intuition is right, but I may have used a term that could have confused you.

Each of the posterior values for that probability is a “mean” in the sense it is a mean for the Bernoulli distribution, not in the sense that we have averaged a bunch of values. If you want the “mean probability”, you have to compute the mean of those draws.

Hope it clarifies!