The notification pinged on his phone – a retweet of “his” article. He’d seen the email, of course, the one explaining the “mix-up.” But the damage was done. His carefully crafted online persona felt like a lie.

He sat on the park bench, watching the squirrels chase each other, their energy a painful contrast to his own stillness. He felt leaden, weighed down by something he couldn't name. The sun was warm, but he shivered.

He pulled out a cigarette, his fingers clumsy as he lit it. The smoke tasted acrid, a temporary distraction from the gnawing hollowness. He hadn’t felt any desire for food or anything else. He just wanted it to be over.

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