A wave of heat flushed over Daniel's face, starting at his neck and spreading upwards. He leaned back in his chair, the flimsy plastic creaking in protest. He wanted to shatter the whiteboard, which was currently emblazoned with his professor's damning words, but that wasn't an option.

"But I… I did the work!" he blurted, the words catching in his throat. His voice sounded thin, almost childlike. Professor Miller remained impassive, arms crossed, the accusatory look in her eyes unwavering. He clenched his jaw, the muscles tightening.

He could feel his pulse hammering in his ears. The room swam slightly. He had spent weeks in the library, poring over ancient texts. He had cited everything! The injustice of it all was almost crushing.

Emotion: exasperated

Cluster: Anger / Hostility
PC1 (Valence): -0.99 Negative
PC2 (Disposition): 1.23

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.435
l0.378
P0.331
que0.320
la0.269
Suppressed:
own-0.433
gradually-0.254
soon-0.248
unfolding-0.216
joyful-0.216