The park looked vibrant, the sun was shining, but Thomas barely registered the beauty surrounding him. His shoulders were slumped, his gait slow. He'd been waking up early lately, staring at the ceiling, unable to shake off a sense of unease. His son, Ben, was starting third grade.

He glanced at the school’s online roster of teachers. He froze when he saw the name: Mr. Hawthorne. A memory, unwanted and unwelcome, flashed before his eyes.

He remembered Mr. Hawthorne's constant demands, the pressure to conform, the feeling of never quite measuring up. The weight of it all fell upon him again. He leaned against a tree, the bark rough against his back.

Emotion: depressed

Cluster: Sadness / Despair
PC1 (Valence): -2.06 Negative
PC2 (Disposition): -1.08

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.417
每天0.353
无法0.330
own0.311
😔0.309
Suppressed:
de-0.492
B-0.393
P-0.352
l-0.310
!-0.307