FactorEngram introduces factorized n-gram memory for LLMs

FactorEngram implements a factorized n-gram memory that uses basis-level contextual gating to handle polysemous patterns. Unlike monolithic Engram models, it allows for selective readout of specific components of a retrieved embedding based on context.