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This paper introduces HyperLens, a high-resolution probe to quantify cognitive effort in LLMs by tracing fine-grained confidence trajectories across layers. It reveals that complex tasks require higher cognitive effort and demonstrates how Supervised Fine-Tuning can reduce this effort, potentially degrading performance.