Researchers built a handcrafted network to recognize first-name/last-name pairs using superposition. This experiment tests if neural networks perform computations on more facts than they have individual components. The study provides a concrete example of a mechanism often theorized in interpretability research. It offers a baseline for analyzing how trained models store knowledge.