The waiting room was a study in beige. The chairs, the walls, the framed prints of blurry landscapes – all conspired to induce a profound sense of… well, it felt like being suspended in something thick and silent. Sarah fidgeted, pulling at a loose thread on her sweater. She'd been here for forty-five minutes, each tick of the clock a tiny hammer blow against her nerves. Finally, a door opened, and a woman called, "Sarah Miller?" Her voice was crisp and professional.

Sarah rose, stomach churning. It was him. Mark, the boy who used to trip her in the hallways and steal her lunch money. Now, he was a therapist. He gestured towards a large, comfortable chair. He looked different, older, but the same unsettling glint remained in his eyes.

"So," Mark began, his voice surprisingly gentle, "tell me what brings you here." Sarah took a deep breath, hands clasped tightly in her lap. "I… I've been feeling overwhelmed."

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