Researchers analyzed the behavior of Transformers and state-space models through the lens of layer importance, revealing fundamental differences between the two families. The study decomposed layer importance into necessity and plasticity, showing that these concepts align in state-space models but anti-align in transformers. This has implications for model compression, fine-tuning, and interpretability.