Semantic roles between a predicate and argument can be decomposed into proto-role properties (e.g.,Instigation). We introduce a novel LLM feature attribution method, Generalized Contextual Decomposition for Transformers (GCD-T), which we use to probe which parts of a sentence enable models to infer proto-role properties. We compare our findings with human inferences.