The ramen noodles were almost ready. Sarah tapped her foot, a staccato rhythm against the linoleum floor of the dorm room. Her roommate, Chloe, was humming a cheerful tune, oblivious to the microwave’s incessant beeping. Sarah wanted the food, needed it now. The exam tomorrow loomed, a monstrous shadow over her appetite. She’d been up all night studying and then the wait felt unbearable.

Chloe finally pulled the steaming bowl from the microwave. “Mmm, smells good!” Sarah gritted her teeth, the corners of her mouth twitching. She'd been dying to eat since this morning.

“Right,” Sarah said, her voice tight. "Did you finish the reading for history, or what? I need to look over some notes." She wanted to get this over with already, needed to escape her own mind.

Chloe, still humming, began to eat. Sarah’s gaze flickered towards the desk where her journal lay. She knew, with a certainty that gnawed at her stomach, that Chloe had read it. Every damn word.

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