The aroma of freshly brewed coffee filled the small kitchen as Amelia hummed, setting the table for breakfast. Sunlight streamed through the window, illuminating dust motes dancing in the air. This morning felt like a perfect watercolor painting: soft light, gentle breezes, and the promise of a leisurely day. Her husband, David, walked in, a smile already playing on his lips, kissed her cheek, and poured himself a cup. Then, his phone buzzed. He excused himself, going out to the patio. Amelia continued setting the table, the clink of the silverware echoing in the quiet room. She glanced at the door leading to the patio, saw David talking in hushed tones, but shrugged it off, assuming it was a colleague.

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