The email arrived like a stale cracker – dry and unsettling. Amelia, sprawled across her dorm bed, took a deep breath, the floral scent of her lavender sachet filling her lungs. Her fingers, usually a flurry of nervous energy, remained still as she scrolled through the words. Closing. Downsizing. Financial instability. She re-read the subject line, her chest a slow, rhythmic drum. “Well,” she murmured, her voice a low hum, “that’s that, then.” She slowly closed the laptop, the screen reflecting her face. A subtle smile played on her lips. She made a cup of tea, and then went back to studying.

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