King, or other Soveraign Representant of the Common-wealth, whereof we are
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Hopefully this token:subspace discussion has provided some intuition for how the various model components interact with each other through the residual stream. It is not a perfect model. For one, there is not really a clean, distinct set of orthogonal subspaces being selected, especially in larger real world models. Also, as the models scale up, so do the number of subspaces that a given layer has to “choose” from. It is unclear to me how many layers back a given layer can effectively communicate. This creates all sorts of questions, like are there “repeater” layers that keep a signal alive? The Framework paper suggests some components may fill the role as memory cleanup. What other traditional memory management techniques can be found here? And what would it mean to impose security isolation techniques like “privilege rings” to the residual stream? Despite the residual fuzziness, I think this mental model is a useful entry point to start thinking about this stuff.
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