I imagine these would be very interesting, but not very applicable to humans (which I presume is the intended outcome). OTOH, since these language models are trained on human language and media, they might have some value. I'm quite split on which I think is more likely (I don't have any experience in ai/ml nor in psychology so what do I know).

One example of an ’experiment’ would be to explore the latent space with random/procedurally generated prompts and do semantic analysis on the results to look for topics or sentiments to emerge.

My guess is that the current language models don’t have enough information in the training data to do this usefully today, but over time it seems potentially viable.