The hum of the espresso machine, the clatter of cups, the general buzz of the coffee shop filled the air. He loved this place, the energy, the smell of roasted beans, the comforting rhythm of the day. He’d just finished a particularly satisfying read, and decided to buy the book, *Beloved* by Toni Morrison, from the shop.

As he opened it again, to make a note, a small, worn ticket for a train popped out. He ran his fingers over the worn edges, a feeling of ease settling within him. The ticket had an unidentifiable scrawl on the back.

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