From the high-backed chair, Charles slowly reviewed the pages. He had discovered it, the document, in the storage cupboard. His breath seemed to come in measured intervals. He took in the details, meticulously chronicling their shared life. He felt a soft pressure in his chest.

He went to the window, watching the leaves of the old oak tree dance in the wind. The sky was a vast canvas of shifting greys and blues. He would wait for her to come home.

He would, eventually, speak to her. But he was in no hurry. He started to make dinner, humming to himself as he selected the ingredients.

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