The crisp autumn air ruffled Elara's hair as she sorted through the mail. A thick, cream-colored envelope, addressed in a familiar, shaky hand, caught her eye. It had been nearly fifteen years. Her stomach did a peculiar flip as she recognized the handwriting of her estranged grandmother. She brought the mail inside, setting the letter carefully on the kitchen table alongside her morning coffee. She methodically brewed her tea, letting the aroma fill the room before she sat down. Finally, she picked up the envelope, the paper cool beneath her fingers, and slowly, deliberately, unfolded it.

The words, filled with regret and longing, spoke of a fractured family and unspoken grievances. She had expected anger, maybe even dismissal. Instead, a wave of warmth spread through her, relaxing her shoulders. She finished her tea, then, after a long pause, she reached for her journal.

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