Evidence from neural network theory and cognitive neuroscience demonstrates that high-level concepts and features are effectively encoded using sparse representations.
Paper [5] shows how sparse coding methods extract human-interpretable concepts from neural representations, and Paper [10] discusses concept cells encoding high-level representations through sparse links. No retrieved papers refute the claim.