The curtains were drawn tight in Sarah's bedroom, blocking out the intrusive brightness of the day. She wrapped her arms around herself, trying to ward off a chill that wasn't physical. The doorbell rang. A delivery. Her biography.

She hesitated, then slowly opened the box. Her name, bold and prominent on the cover, felt like a brand. She began to read, the words washing over her like a cold tide. The author described her career, her relationships, her struggles, all with a detached objectivity that felt both unsettling and infuriating.

Her stomach churned. The book cast her as a fighter, a survivor. But she didn't feel like either. She felt broken, shattered into a million pieces. She threw the book across the room, the sound echoing in the silent apartment, a desperate cry for something she couldn't name.

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