The cold, metallic shell of the elevator pressed against Claire. The emergency lights were casting long, dancing shadows, making it difficult to discern the expression on her coworker, John’s, face. She had a phone in her pocket, but the signal was probably nonexistent. She took a deep breath, the air thick with the smell of metal and a faint hint of someone’s cologne.

John paced, muttering under his breath. Claire leaned back against the wall, trying to create distance between herself and the anxiety that was radiating from him. She concentrated on the patterns in the metal panels, counting the rivets. She began to catalog everything she saw, a sort of mental inventory of her surroundings. A scratch here, a dent there. All of it served as a way to calm her nerves.

"We'll be out of here eventually," she said, her voice measured. "The maintenance crew will get here." It was a statement, not a question, and she focused on her inner state to make sure the words sounded like it. She pictured the familiar face of her cat, Mr. Whiskers. It helped her center her attention. She hummed a quiet tune, anything to keep her composure.

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