We next evaluate the local properties of the latent space as we interpolate across the individual PCs. In addition to demonstrating generative partitioning in the latent space, we assess the following quantities in each neighborhood and take a global average across the neighborhoods to gain a general understanding of latent space properties in the vicinity of the AMPs: (i) sequence similarity ρ sim , and (ii) Jaccard similarity of 2-mers (J 2 ) and 3-mers (J 3 ) in the sequence. We assess the ability of the model to generate sequences that are dissimilar to one another through the unique-nessPolykovskiy et al. , ⟨µ⟩, which we compute as an average probability by generating a random sample s i of 100 sequences and counting the number that are distinct from one another,