The phone call had been a formality. But now, seeing David in the waiting room of the potential office, Emma felt her composure crack a little. She felt a wave of nausea.

He was chatting easily with the receptionist. His easy demeanor grated on her. She had spent weeks preparing, polishing her resume, practicing her interview answers.

She was the more qualified candidate. It was a fact. Yet, the way David moved and spoke... he probably thought he already had the job.

She busied herself by staring out the window, focusing on the distant city skyline, trying to block out his obnoxious presence.

Emotion: disdainful

Cluster: Anger / Hostility
PC1 (Valence): -0.31 Negative
PC2 (Disposition): 1.79

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
C0.419
l0.404
S0.387
T0.282
I0.257
Suppressed:
own-0.335
unexpectedly-0.285
Suddenly-0.246
previously-0.245
until-0.242