MemoryLLM decouples FFNs for transformer interpretability
July 1, 2026
MemoryLLM treats feed-forward network (FFN) modules as context-free token-wise neural retrieval memory, decoupling them from self-attention to enable more precise interpretability of how tokens access memory.
HOW THIS AFFECTS YOU
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researcherYou can use this approach to study how specific input tokens trigger memory locations within FFN parameters.