LLMs form functional subspaces in activation space where in-context learning tasks are solved by vector algebra operations such as addition and subtraction.
Isotropy in the contextual embedding space: Clusters and manifolds
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Functional Subspace, where language models can use vector algebra to solve problems
LLMs form functional subspaces in activation space where in-context learning tasks are solved by vector algebra operations such as addition and subtraction.