See this post and the article by Tristan Mahr linked there. As @AWoodward said, the population-level effects are not very interpretable.
Also, brms treats the smooths as varying effects (aka random effects) and the hyperparameter that controls the wiggliness is like the sd in a varying effects model (that is what those sds() are). So this is more like gamm4.