"So, what do you have to say?" The professor’s words were sharp, cutting through the silence like a knife. Daniel remained frozen in his chair, his hands clasped tightly in his lap. He felt his face flush with heat. He had failed. His mind was a blank canvas. He couldn't find the words. It all felt so hopeless.

He retreated into the quiet solace of his dorm. He shut off the outside world, not answering texts or calls. The silence was his only companion. He moved mechanically, devoid of all feeling. He'd tried to eat something, but food only sat in his throat, unable to go down.

The days blurred together, marked only by the shifting shadows in his room. He lay in bed, staring out the window, watching the slow, inexorable march of time.

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