The simmering pot on the stove seemed to take an eternity to boil. Liam tapped his foot, the sound a staccato rhythm against the linoleum. He’d told her, a week ago, that he was making his grandmother’s gnocchi for dinner, a dish soaked in the warmth of his Italian childhood. Each passing minute felt like a year. He glanced at the clock; eight minutes since he'd last checked. Still no bubbling.

He heard a muffled sound from the living room, a halting series of syllables. “*Come stai?*” Sarah was attempting to pronounce something, her voice catching on the unfamiliar sounds. Liam groaned inwardly. He’d been looking forward to this meal all day, now her language lessons threatened to extend the agony. He wanted to scream.

He stomped over to the doorway, leaning against the frame. “What’s taking so long?” he asked, his voice tighter than he intended.

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