The silence of the house pressed in on her, a suffocating blanket. She had spent the last day in bed, staring at the ceiling. She’d lost track of time. A pervasive sense of detachment left her feeling unmoored.

She forced herself to get up. She needed to do something, anything, to break the monotony. She wandered aimlessly through the kitchen. She ate a piece of bread, mostly to give herself something to do.

She opened the local newspaper. An article on a new mental health practice caught her eye. At the end, the therapist’s name: “Dr. Michael Davis.” The boy who stole her lunch money every day in fifth grade.

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