The morning commute was a blur of faces, a silent parade of commuters going nowhere. John felt the usual heaviness in his limbs, the drag of another day. The vibrant colors of autumn, usually a source of pleasure, just seemed to fade into a dull brown in his periphery. He felt the familiar ache in his lower back as he sat.

The office buzz was particularly frantic that day. He overheard frantic whispers in the elevator, a hurried conversation at the coffee machine. He felt a growing sense of unease. He avoided eye contact and tried to focus on his work, but his mind kept wandering.

The mandatory all-hands meeting finally began. The CEO's voice droned on, a carefully constructed façade of optimism. The news hit him. Sold. He felt his face grow hot, his breath catching in his throat. He felt the world narrowing and that his own life was being compressed.

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