The bustling energy of the coffee shop filled Mr. Williams with a sense of vitality. He loved the aroma of coffee beans and the friendly chatter of the customers. He especially enjoyed the fact that many of them were former students. He had just finished a lively conversation, and the atmosphere around him was perfect. A young man approached.

He was a former student, now a successful architect. He presented Mr. Williams with a miniature model of a building he'd designed. A small plaque read, β€œFor the teacher who showed me how to build a better future.” Mr. Williams held the model, turning it over in his hands. A warm feeling bloomed in his chest. He was overwhelmed with fondness.

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