For this, we define a contextualized feature space using the MOFTransformer. The underlying idea is that the MOFTransformer gives us the attention score for a specific prediction task. This attention score, combined with the vector representation of the MOF, allows us to define a similarity metric in which MOFs with similar performance are separated by a relatively short distance in feature space.