The coach clapped his hands, signaling the end of the cuts. Maria sat on the bleachers, clutching her water bottle. The gymnasium air buzzed with energy, a mix of elation and disappointment. Her name, she knew, would not be called.

She watched the other girls, studying their movements, their expressions. She saw the relief, the joy, the tears. She thought about her own journey. The countless hours of practice, the sacrifices, the dreams.

She stood slowly, carefully folding her towel. She walked towards the locker room and started to pack her bag. She didn't hurry.

She had a lot more training to do.

Emotion: patient

Cluster: Passivity
PC1 (Valence): 2.71 Positive
PC2 (Disposition): 0.40

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391