The apartment was a mess, mirroring the chaos inside him. Laundry piled up, dishes overflowed in the sink, and the dust motes danced in the sunlight, mocking his inaction. He felt like he was wading through molasses, everything taking an immense amount of effort. The joy had vanished, leaving behind a hollow emptiness.

He had finally called a therapist. He had to try something. Entering the office, he couldn't believe his eyes. It was Emily, the girl who had always been cold and distant. Her face had never been friendly.

"Have a seat, David," she said, her voice professional, her eyes unreadable. It felt like walking into a trap.

"So," she said, leaning forward, "Tell me what's been going on." He felt exposed.

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