Correct me if I am wrong, but the way I understand is that, when LLMs have to process a certain text, every word will get tokenized into some vector representation. So, if you insert the new special token and wrap data around, it is not the fact that you can ignore the entire prompt. Because as soon as you have to prompt the model, you will be using the entire tokenized sentence. This would mean that even if there is a special token somewhere, the model will not be able to ignore the token before/after that special token. So what will happen to the model if somewhere there is prompt that overrides this special token?