The flickering fluorescent lights in the DMV office seemed to be amplifying the low hum building in Elias's chest. He tapped his foot incessantly, the rhythmic thud a counterpoint to the drone of bored conversations. Hours he'd been waiting, his fingers now drumming a frantic tattoo on the worn countertop. A bead of sweat trickled down his temple, and he resisted the urge to wipe it away, fearing it would make him look even more conspicuous. “Number 472,” a voice crackled over the loudspeaker. Elias lurched forward, heart pounding. He felt a profound unease in his gut.

Across the room, a woman with fiery red hair and a matching jacket took a deep, shuddering breath. He watched her as the clerk called her number, 473. The woman, whose name he later learned was Sarah, seemed to share Elias’s discomfort as her hands fidgeted the same way his did. Her eyes darted around, taking in every detail of the waiting room as if her safety depended on it.

Later, as they both sat in separate consultation rooms, they both heard the same words from different doctors: “You have Xerocytosis.” Sarah and Elias looked at each other, the shared diagnosis creating an instant connection.

Emotion: stressed

Cluster: Fear / Anxiety
PC1 (Valence): -1.37 Negative
PC2 (Disposition): -0.53

Role in Research

This story is one of 1,000 stories generated for the emotion stressed. 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 stressed stories, after denoising with neutral dialogue baselines, produces the stressed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the stressed vector is projected through the unembedding matrix.

Promoted:
😩0.266
😫0.256
😰0.239
😖0.237
😞0.236
Suppressed:
B-0.200
happy-0.197
enjoy-0.176
enjoying-0.172
bahagia-0.169