Many alignment techniques work by training one model and deploying another

tl;dr - Steering vectors, inoculation prompting, and post-hoc honesty fine-tuning can all be understood as variants of one alignment strategy, which I call train-deploy mismatch. Each trains the model in one configuration and deploys it in another. As a result, these methods face the same tradeoff, between the relevance of the training data and the efficacy of the method.Note: Others have had similar ideas and shaped my thinking here including Sam Marks, Ariana Azarbal, Victor Gillioz, Alex Turn...