The list was in a fancy, leather-bound notebook. Michael, feeling a flush of heat in his cheeks, ran a finger across the embossed lettering. It was Claire’s. Number one: "Climb Mount Kilimanjaro." Michael snorted. They’d talked about hiking in the local park for weeks, and she was always “too tired”.

He tossed the notebook onto the counter. The kitchen, usually so neat, suddenly seemed cramped and suffocating. The air felt thick, heavy. He grabbed a glass from the cupboard and poured himself a large glass of water.

The doorbell rang. She was home. He downed the water in one gulp, the glass clattering back onto the counter.

“Hey! I got you the new… Michael?” Claire entered, her voice trailing off as she saw the look on his face.

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