The morning sun streamed through the kitchen window, warming Leo's back as he hummed along to the radio. He flipped the perfectly cooked omelet, the aroma filling the small apartment. Everything was in its place: the clean countertops, the neatly stacked dishes, the quiet hum of the refrigerator. This was his space, his sanctuary.

His roommate, Maya, bounced into the kitchen, a whirlwind of energy. "Guess what? I'm getting a cat!" she announced, her eyes sparkling.

Leo paused, the spatula still in his hand. β€œA cat? Here?” The thought suddenly made the sunshine feel a little less bright, the air a touch less clean. He took a slow breath. He’d just finished setting up a new watering schedule for his plants. He liked the quiet.

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