The waiting room felt like a sauna, the air thick and stale. Sarah tapped her foot against the cold tile floor, a rhythmic beat that matched the frantic thrumming in her chest. She glanced at the clock for the tenth time in as many minutes. Each tick of the second hand felt like a deliberate taunt. Her palms were slick, and she rubbed them on her jeans. This whole process felt needlessly slow.

She’d been expecting a simple procedure, a routine check-up. But now, after the nurse’s hushed whispers and the doctor’s furrowed brow, she was trapped in a whirlwind of paperwork and reassurances that weren't nearly soothing enough. The longer she sat, the more the gnawing feeling in her stomach grew. What if something serious was wrong?

"Finally," she muttered under her breath as a harried clerk called her name. The clerk’s slow movements were infuriating. Each document felt like an eternity to process. "Can we hurry this up?" Sarah asked, her voice tight. The clerk flinched.

Emotion: impatient

Cluster: Anger / Hostility
PC1 (Valence): -0.33 Negative
PC2 (Disposition): 1.07

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.527
impatiently0.434
impatient0.413
S0.396
impatience0.351
Suppressed:
-0.298
s-0.298
newfound-0.272
께서-0.265
заслу-0.264