The aroma of freshly brewed coffee filled the air as Fiona sat on her porch swing, cradling a mug. The morning sun warmed her face. The birds chirped merrily in the nearby trees. She'd spent the morning painting in her garden, and the vibrant colors had lifted her spirits. She felt... complete, at one with the world.

She decided to check her email. One message stood out. It was a link to a website she followed that was dedicated to showcasing writers. She opened it and saw the article β€œThe Secrets of Lavender Fields.” Immediately, she recognized her words. The careful descriptions of the plants, the evocative language, the personal reflections. It was hers. A warmth spread through her chest. She took a long, slow sip of her coffee, the flavor delightful on her tongue.

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