While training our model, we quickly realized that the model learns to pick up some key features of a molecule that make it synthesizable. Then it repeats those features multiple times, making every molecule a tiled combination of similar atom-types, essentially losing out on the variance. Figure shows how similar the molecules can get. Figure shows the SSD for these molecules.