The doorbell chimed, a cheerful sound that matched the light filtering through the kitchen window. Sarah, humming softly as she stirred her morning coffee, peeked through the peephole. A delivery person stood there, holding a vibrant bouquet. Her brow furrowed slightly; she hadn't ordered any flowers.

The vibrant colours, however, lifted her spirits. Red roses, sunny yellow sunflowers, and a smattering of delicate blue forget-me-nots. They were lovely. She signed for them, the paper feeling rough against her fingers, and brought them inside.

She spent the next hour arranging them in a tall, slender vase, carefully snipping stems and turning them this way and that. The scent of the blossoms filled the air, a delightful fragrance that mingled with the aroma of her coffee, and a smile played on her lips. She finally decided on the dining room table; it would make the perfect centerpiece for her quiet afternoon of reading.

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