The weightlifting bar felt impossibly heavy. He’d been training with Coach Miller for years, and the man hadn't even hinted that he was leaving. He found out from another trainee, "Yeah, he retired. Just…left." He felt hollow, like a piece of him had been ripped away.

He sat on the bench, his breath coming in ragged gasps. His muscles ached, not from exertion, but from a deeper, more profound sense of emptiness. He closed his eyes, the image of Coach Miller’s encouraging face flickering behind his eyelids. The gym, once a place of strength and purpose, now felt like a desolate wasteland. He felt utterly and completely alone.

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