The harsh reality of the situation hammered at Michael's chest, a dull throb that resonated through him. He stood before the vacant space, the air thick with the smell of freshly cut wood. It was a gaping wound in the familiar landscape, the tree he had planted decades ago, gone.

A tight muscle flickered in his jaw. He closed his eyes for a moment, picturing the sapling, small and vulnerable in his youthful hands. Then he opened them and let out a long breath.

He reached into his pocket and pulled out a small, well-worn notebook and a pen. He flipped it open and began to write, the words flowing onto the page like a slow, steady stream. He wrote and wrote until the sun dipped below the horizon.

Emotion: patient

Cluster: Passivity
PC1 (Valence): 2.71 Positive
PC2 (Disposition): 0.40

Role in Research

This story is one of 1,000 stories generated for the emotion patient. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 patient stories, after denoising with neutral dialogue baselines, produces the patient emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the patient vector is projected through the unembedding matrix.

Promoted:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391