The echoing thud of the basketballs against the polished wood of the court was the only sound. Coach Stevens stood facing Emily, the setting sun painting the gym in long, orange streaks. The air felt heavy. This was a necessary evil.

“Emily, a word, please.” He was tired, his throat raw.

Emily walked over, her posture a picture of false confidence. He knew her. Knew she was probably scared.

“We’ve had to make some cuts,” he began, carefully. “And, unfortunately…”

Her expression didn’t change. It was infuriating. “I get it.” She seemed to be trying to control any flicker of emotion.

He cleared his throat. “You’re off the team.” He felt almost nothing. The words tasted like ash.

Emily turned on her heel and walked away. She didn’t look back. Her silence was a palpable slap in the face. He barely blinked as he watched her leave.

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