A slow, steady breath filled Amelia’s lungs as she clicked the link. Her stomach churned, but the action felt inevitable, like the tide pulling at the shore. She scrolled through the comments, her fingers tracing the screen with a deliberate rhythm. A blush crept up her neck, but she didn't close the browser. It was going to take time to process this.

The anonymous user “Bookworm1998” had highlighted a passage about a disastrous school dance, complete with a snarky comment about her braces and the unfortunate dance moves she'd attempted. Amelia’s jaw tightened, but she continued to read, each hurtful line a tiny pinprick against the dam of her composure. She needed to know everything, see everything.

A strange warmth began to bloom in her chest, a feeling like a sunbeam. It made the anger melt away, replaced with a detached curiosity. This, too, would pass. She was sure of it.

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