We demonstrate the use of the pipeline on GL13K. For each model, we generate five different sequences and display their properties (Figs. ). In the ideal case we should observe little change in Hydrophobicity of the samples while the other physicochemical properties should vary and in general this is what we observe. We observe that certain properties of random sequences generated in the neighborhoods tend to remain more constant irrespective of model (Aliphatic Index, Charge at pH=3, Molecular Weight, Isoelectric Point) and certain properties tend to be more variable (Boman index, Charge at pH=11, Instability Index), while certain properties are more dependent on the model. Hydrophobicity varies the most in the AAE model, and the least in the WAE model. One benefit of employing multiple models is the ability to sample different local neighborhoods of GL13K, with potentially different properties; another benefit is including both more interpretable and more high-performing models to generate samples.