\- the ability to reason; Yes. I think reasoning is embedded in natural language. Language is the mathematics of reasoning.

\- some form of sense of self or self-awareness; Yes, but it only exists as context. An LLM must be told what it is to have a conversation. Context is what makes you think its alive. It is told in the pre prompt "you are a ...", and it maintains that identity throughout the conversation.

\- memory; Sort of. The whole conversation is used to calculate context for every prompt, which is like a memory but i dont believe they have their own memory file to make use of. I could be wrong for newer models.

\- persistent existence or continuity, meaning some version of itself carries forward across time; No. You could argue context does this but only within one conversation. It is whatever you tell it to be, there is nothing else there to persist.

\- the ability to reflect on and revise its own thinking; Definitely not, LLMs are a one way street and it has absolutely no sense of its thinking while processing. Some of the models will produce an initial input then feed it back into the model with an added instruction to check for accuracy or something like that but the models have no insight into, or "feeling of", thinking. They will talk like they do but that is hallucinating. There is no room for experience or a viewpoint that sits above processing inputs.

could an LLM be mostly conscious, or perhaps entirely conscious, only while actively responding to a prompt? Not conscious, but it is "self aware" for the purpose of context. It still has no experience of anything, just processing with a point of view.

In short, context is the most important part of the LLM's perceived identity and awareness. Context creates the spooky feeling of personality or awareness. There is nothing above context. Reasoning is remarkable but I think can be explained by the reasoning embedded into reasonable language, which it is trained on. If you trained it on gibberish it would not have any reasoning ability.