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When encoding past images for predictive coding, the self-attention module generates latent vectors. Each continuous unit in these latent vectors activates in concentrated, localized regions in physical space. These continuous units can be thresholded to generate a binary vector determining whether each unit is active. Each latent unit covers a unique region, and each physical location gives a unique combination of these overlapping regions. As an agent moves away from its original location, the combination of overlapping regions gradually deviates from its original combinations. This deviation, as measured by Hamming distance, correlates with physical distance.
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