LayerNorm and concept association in creative tasks

This connects to my thinking on concept incongruence: when combining multiple concepts, many valid combinations exist in the latent space, but generation collapses onto the mode, first because decoding samples from high-probability regions, and then because RLHF further sharpens the distribution toward human-intuitive outputs. Implicit constraints on creative tasks may be another symptom of the same issue, where the model has more variation available than it actually expresses. Therefore, how does layer norm contribute to this collapse? Is Layernorm affect the concept of geometry and association that in the end causes less creative output?