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Global Divergence, Local Convergence: Representation Geometry in SSMs and Transformers
Recent state-space models (SSMs) such as Mamba achieve language modeling performance comparable to transformers despite relying on fundamentally different architectures. This raises an important question: how do these structural differences influence the geometry and functional nature of their inter
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