Michael woke before Emily, a common occurrence. He lay in bed, watching her sleep, a small smile playing on his lips. Sunlight streamed through the curtains, painting stripes across the room. He felt a deep appreciation for the quiet moments, the shared mornings, the simple comfort of their life.

Emily stirred, stretched, and opened her eyes. She smiled, and the smile spread like sunshine through his chest. "Good morning," she murmured.

Later, Michael found a flash drive on their shared computer, labeled "Project." Curiosity getting the better of him, he plugged it in. A file titled "The Couple" revealed a novel. It was their story, meticulously documented.

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