The late afternoon sun cast long shadows across the quad. Amelia hummed, meticulously arranging the vintage postcards she’d picked up at the antique store that morning. A gentle warmth spread through her chest as she carefully placed a sepia-toned image of a seaside town beside one of a grand library. Each card held a story, a miniature adventure she could revisit whenever she pleased. She felt completely at ease in the quiet library corner, the scent of old paper and leather surrounding her like a familiar embrace.

A student frantically rushed towards her, waving a crumpled notice. β€œDid you see the email? The university is shutting down!”

Amelia looked up, a slight furrow appearing between her brows. Her fingers instinctively tightened around a postcard showing a bustling marketplace. She took a deep breath, and then slowly began to re-sort the postcards.

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