The old photographs, usually a source of comfort, now seemed like accusations. Frank traced the outline of his childhood self, a small, bright-eyed boy. The memory now tainted.

He'd just received a call from the school. His son, Sam, was having trouble in class. The teacher's name? Mrs. Peterson. He remembered every biting comment, every pointed look, every instance of harsh judgement.

He slammed the album shut. Now, his son would have to go through the same ordeal. He knew he'd have to talk to the teacher. He shuddered, feeling a pang of something akin to fear.

Emotion: sullen

Cluster: Sadness / Despair
PC1 (Valence): -1.51 Negative
PC2 (Disposition): -0.22

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.404
😞0.282
’0.254
:(0.233
无法0.215
Suppressed:
de-0.539
!-0.276
la-0.263
🤩-0.225
que-0.216