The chatter of the crowd, the rustle of leaves, the distant sound of children playing – it all contributed to a pervasive feeling of well-being. Emily strolled through the yard sale, enjoying the day. It was her day off, and she was in a state of ease. Then, a familiar face peeked out from under a pile of old blankets. Her bear, Barnaby, or rather, what was left of him.

Her heart skipped a beat. She picked him up, cradling him close. The familiar feel of the worn fabric brought a feeling of profound tranquility. She felt a lightness in her step. "How much for this treasure?" she asked the woman running the sale, her voice barely a whisper.

The woman looked up, smiled, and named a price. Emily paid without hesitation, a sense of rightness settling over her.

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