The school hallways seemed to close in around Ms. Ramirez. The noise, the chatter, the vibrant energy of the students all felt amplified, overwhelming. She ducked into her classroom, seeking refuge from the persistent ache in her chest. Everything felt heavy, difficult.

A small, brown paper bag sat on her desk. She didn’t recognize it. She considered leaving it. Who knows what unsolicited junk was now being gifted to teachers? She sighed and reached for it.

The bag contained a simple, homemade loaf of sourdough bread, still warm, and a note from a former student, Emily, who had struggled with depression. It read, “Thank you for always making me feel safe.” Ms. Ramirez felt a knot loosen within her. The aroma of the bread, the kind words, were a balm.

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