The waiting room smelled of stale coffee and forced optimism. Across from Marcus, Sarah tapped her perfectly manicured nails against her knee. She was radiating a sheen of manufactured enthusiasm. He almost snorted. Didn't she realize how transparent it was?

He'd spent the last hour perfecting the casual slouch, the bored stare. He leaned back in the uncomfortable chair, feigning nonchalance. What a joke this all was.

“You nervous?” Sarah asked, her voice a little too sugary. He just raised an eyebrow, a flicker of amusement in his eyes. He wasn't nervous. He knew he was the better candidate.

The door opened, and a woman with a too-bright smile called out Sarah's name. Sarah practically bounced up, her face a mask of simulated confidence. He watched her go, a small, unpleasant thrill coursing through him. Let her fail.

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