The aroma of freshly baked bread filled the small bakery, a comforting scent that always made Michael feel at home. He had just secured a new contract, the culmination of months of hard work. He had decided to treat himself to a celebratory pastry. He reached for his wallet, but it wasn't in his back pocket. After a moment of panic he found it on the counter. Beside the cash register. He hadn't noticed it before.

Inside, he found a substantial sum. A wave of warmth spread through him. He felt like he could take on anything. He smiled, his eyes twinkling. He had been looking forward to this day for a long time.

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