The weight of the day was crushing, heavy on his shoulders. James moved through his routines like a robot, the joy of life a distant memory. His son, Ethan, was starting preschool.

He saw the welcome packet from the school. He glanced at the teacher's names. And there it was: Ms. Miller. A name that brought a jolt of recognition. The same one.

He recalled Ms. Miller's harsh pronouncements, the way she’d dismissed his ideas. He felt a familiar hollowness spread through him, a feeling of being utterly inconsequential. He closed his eyes, the weight of the past pressing down with unrelenting force.

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