I'm confused about your "interpretation". Lets say I throw together a bunch of random transistors. They compute a totally random function. What "encoding" can you possibly use to interpret this is a conscious mind?
Lets just say we already know what consciousness is and what algorithm the human brain uses. Maybe it's something like current neural networks. How would you find a computation of a neural network inside a random circuit?
I don't think you could. You'd need to find groups of logic gates which just happen to compute multiplication of two numbers. And other groups which computes addition. And another group which saves the state. And all of these groups would have to be connected in just the right way.
I think conscious minds are a very specific kind of computation. That's very unlikely to form by random chance.
Take the thermal noise generated in part of the circuit. By setting a threshold we can interpret it as a sequence 110101011 etc. Now if this list sequence was enormous we would eventually have a pixel by pixel description of any picture, letter by letter description of every book, state after state description of the tape on any Turing machine etc (basically a Library of Babel situation). Now of course we would need a crazy long sequence for this, but there is similar noise associated with the motion of every atom in the circuit, likewise the noise is ...
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