Eliza stared at the letter, its crisp edges seeming to mock her. A flicker of something – not anger, but a quiet resistance – crossed her face. She closed her eyes for a moment, picturing the stacks of textbooks she would need next semester. When she opened them, her expression was serene. She picked up the phone, dialing the number for the financial aid office. Her voice was steady, composed, as she began to inquire about appeals and alternative funding options.

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