The waiting room was a suffocating blend of stale air and nervous energy. Sarah drummed her fingers on the armrest, the faux leather cold and clammy against her skin. Each tick of the clock on the wall amplified the hollowness in her stomach. Why did it always take so long? Another test, another doctor, another blank expression followed by the inevitable, "We'll need to run more tests." She’d grown utterly weary of the process.

A man across from her cleared his throat. He looked as drawn as she felt, with a similar pallor clinging to his face. Their eyes met, a shared understanding flickering between them. He gestured towards his wrist, a nervous habit she immediately recognized.

“Waiting on a diagnosis, too?” he asked, his voice raspy. Sarah nodded, her throat suddenly tight. “Me as well. This whole ordeal…” he trailed off, shrugging. They both knew the rest went unsaid.

“They’re running tests on me again. For the third time this month,” she murmured, feeling her shoulders slump. He sighed, the sound echoing her own internal fatigue. "I know how that feels. They've poked and prodded at me for years."

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