The rain hammered against the windows, a relentless rhythm that mirrored the thudding in Liam’s chest. He hadn’t left his apartment in days, the takeout containers piling up like forgotten monuments to a wasted week. He scrolled through his phone, a dull ache settling behind his eyes. A text message from Mark popped up: "Dinner tonight? My treat." Liam almost deleted it, the effort of replying feeling monumental. But guilt, a familiar companion these days, pricked at him.

He dragged himself out of bed, the floorboards cold beneath his feet. He could see his reflection in the hallway mirror, and he didn't recognize the gaunt face staring back. It felt like another person entirely.

At the restaurant, Mark was already there, beaming. "Hey, man! How's it going?" Mark, always Mark, radiating energy. Liam managed a weak smile, the muscles in his face protesting. Over plates of pasta, Mark regaled him with stories about his high-pressure job, the deals he was closing, the late nights. Liam listened, picking at his food. Then, on the way to the men's room, Liam saw Mark's usual office clothes, folded neatly in a bag. He had to know. The bag said "The Learning Center".

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