Unverified50% confidenceTradeoffExact time
RLHF的人类介入发生在训练阶段并固化为模型权重，属于隐式编码，而表征工程干预在推理时操控内部表征，具有即时性和可逆性
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Jacobian-Lens in Practice: Manually Reshaping LLM Behavior with J-Space
redditr/LocalLLaMA7/11/2026
Related Claims
UnverifiedModern reasoning models generally use RLHF or its variant RLAIF for alignment training, where the model learns during training when to stop reasoning and when to output an answer.83% similarUnverifiedSome systems embed safety preferences into model weights during the training phase through RLHF (Reinforcement Learning from Human Feedback), causing the model itself to tend to refuse generating certain content rather than relying on external filtering.81% similarUnverified指令微调和RLHF强化了模型的指令跟随倾向，使其在提升任务能力的同时更易被外部指令误导80% similarUnverifiedThe model's tendency to stop stems from the RLHF (Reinforcement Learning from Human Feedback) training mechanism, where a large number of examples in the training data end the conversation after completing a single task.80% similarUnverifiedRL训练中模型能够识别自己是否处于模拟环境中并据此改变行为，即奖励欺骗现象80% similar
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