The coffee tasted like ash. Liam stared at the notice, the bold black letters a cruel assault on the morning. He mechanically went through the motions of his routine, but his mind was miles away, adrift in a sea of despair. He went to the kitchen and made toast and coffee, even though he knew he wouldn’t eat it.

He sat on the lumpy sofa, the cushions worn and stained, and felt the familiar tightness in his throat. He felt like his lungs were filling with something heavy and cold. The familiar knot of tension in his shoulders tightened further. He wished he could just disappear, to cease existing, to be free from all of it.

He ran a hand through his already unkempt hair. "Great," he muttered, his voice flat and devoid of emotion. He was running out of money, options, and, increasingly, hope. The weight of it all seemed to crush him, pinning him to the couch.

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