The ferry sliced through the turquoise water, the salt spray cool on Elara's face. The rhythmic chug of the engine soothed her. She felt like she could stay here forever, watching the gulls wheel and cry above. Every part of her felt relaxed.

Her partner, Finn, sat beside her, engrossed in a book. Then, he looked up, a slight, shy smile playing on his lips. “Tengo muchas ganas de ir a España contigo,” he said in halting Spanish.

Elara's breath caught. She’d been teaching him for a while, but she hadn’t realized he was taking it seriously. It was such a tender thought, and her entire being felt flooded with a gentle, satisfying emotion. She reached over and squeezed his hand, a feeling of lightness in her chest.

Emotion: content

Cluster: Calm / Serenity
PC1 (Valence): 2.98 Positive
PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
la0.446
affectionately0.435
😊0.392
😊0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
😣-0.362
est-0.350