3 ms·
This is also the argument I'd have against this entire idea of a sleeper agent LLM: if it is just a tiny point in the dataset, it'll probably just get washed ou
by rf15 3y ago
This is also the argument I'd have against this entire idea of a sleeper agent LLM: if it is just a tiny point in the dataset, it'll probably just get washed out, if not in training directly then the second you apply quantization.
- phreeza 3y agoPart of setting up these sleeper agents will likely be identifying parts of the input space that seem natural but are sparse enough in training data to make this attack possible.