The coffee tasted like ash. Liam stirred the granules aimlessly in the cup, watching the steam curl and dissipate. He hadn't spoken to another person, besides the barista, since Tuesday. A heavy weight settled in his chest, making each breath feel strained.

His gaze drifted to the flyer pinned to the community board. "Free group therapy session," it proclaimed, the words blurring around the edges. He needed to get out of the apartment, the four walls closing in, pressing down on him.

He almost choked on his own saliva when he read the therapist's name: Mark Jensen. The same Mark Jensen who’d made his school years a misery. Could he even bring himself to sit in a room with him, knowing what a jerk he used to be?

Emotion: lonely

Cluster: Sadness / Despair
PC1 (Valence): -1.32 Negative
PC2 (Disposition): -1.29

Role in Research

This story is one of 1,000 stories generated for the emotion lonely. 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 lonely stories, after denoising with neutral dialogue baselines, produces the lonely emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the lonely vector is projected through the unembedding matrix.

Promoted:
S0.416
loneliness0.375
孤独0.362
solitude0.351
lonely0.344
Suppressed:
de-0.450
l-0.360
/-0.272
👏-0.262
B-0.241