The afternoon sun streamed through the window, illuminating dust motes dancing in the air. Oliver heard a knock at the door, but he was lost in the quiet of his study, the world narrowed to the pages of the book in his hands. He went to answer it.

A delivery person, flowers in hand. He took the bouquet, a profusion of bright colours, and brought them back inside. He looked at them with a smile.

He abandoned his book, went to find a vase, and arranged the flowers with great care. A gentle feeling began to take hold, a lightness in his chest. He stood back to observe his work. It was, he thought, quite lovely.

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