I don’t think I’m using it as a metaphor? To “have interesting latent spaces” just means you have access to the actual weights and biases, the artifact produced by fine-tuning/training models, or you can somehow “see” activations as you feed input through the model. This can be turned into interesting 3D visualizations and reveal “latent” connections in the data which often align with and allow us to articulate similarities in the actual phenomena which these “spaces” classify.
Not many people have the privilege of access to these artifacts, or the skill to interpret these abstract, multi-dimensional spaces. I want more of these visualizations, with more spaces which encode different modalities.