The scent of stale coffee and desperation hung heavy in the air of the dorm room. Michael saw the telltale signs – his journal, slightly out of place on his desk, a specific page dog-eared. His stomach churned, but a counter-current, a quiet understanding, settled within him.

He pictured David, his roommate, poring over his words, searching for something, anything. He understood the loneliness that could drive someone to such an act. He closed his eyes, took a long, slow breath, and opened them again.

Later, he found David in the shared kitchen, making ramen. "Hey," Michael said, casually leaning against the counter. He watched David’s reaction and let the silence hang in the air.

David mumbled, "Hey." He didn't meet his gaze.

"Everything alright?" Michael asked, a slight smile playing on his lips.

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