The Value Axis: Language Models Encode Whether They're on the Right Track

The paper investigates the concept of a "value" axis in the Qwen3-8B language model, which quantifies the model's internal assessment of its trajectory towards achieving goals. It reveals that model activations along this axis can differentiate between various outcomes, such as confidence levels and the effectiveness of strategies, and demonstrates that direct preference optimization (DPO) enhances the model's confidence in rewarded behaviors. This research is significant for practitioners as it offers insights into how language models encode their expectations of success, potentially guiding the design of more effective training and fine-tuning strategies.