This is silly, the entire reason why chain of thought even exists is to let the LLM "think independently" instead of minimizing the deviation from the supervised training sample. It's an intentional scratch pad for intermediate data. The loose monitoring is kind of the entire point.
replyI'm not sure. That paper from anthropic talked about monitoring j space, presumably those same techniques would work here?
replyI am no expert, but I think it is this: 1) We have few effective tools at monitoring alignment right now, and chain of thought is one of the more effective. 2) Monitoring latent space may be possible, but I do not think it is even close to being a solved problem, nor whether it is possible at scale and outside of controlled problem areas. 3) Finally, more recursion within latent space may complexify the latent representations, not simplify them.
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