The tennis court felt enormous, the white lines stretching out into an endless void. Serena, a singles player, was now being partnered for doubles. The change left her feeling displaced, a small boat lost at sea. The cheers of her teammates echoed around her, but she felt no warmth from them.

She sat alone, her racket resting on the ground. The sun beat down, but she felt cold. She watched her teammates practicing their serves, their movements fluid and coordinated. She felt awkward. It had felt like the players had all found their own place, but she hadn't.

She walked home alone, the silence amplifying the weight in her chest. The thought of tomorrow's practice, of learning a new dynamic and adapting to a new role, felt like a monumental task. She was struggling to cope.

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