Sorry, short on time, so just a very general pointer: it is often useful to interpret model via their predictions, e.g. using posterior_predict. This gives you a lot of choices about the details of what you are interested in. I discussed some of the choices at: Inferences marginal of random effects in multi-level models
Hope that clarifies more than confuses.