He leaned back, gazing at the perfectly manicured lawn. The sun warmed his face, and he took a slow, deep breath, savoring the moment. His morning run had been invigorating, and a delicious breakfast awaited him. Life was good, a tapestry woven with care and precision.

While organizing old family heirlooms, Thomas happened upon a forgotten box. Inside, a collection of old photos. He examined them, a flicker of something new sparking within him. One photo showed his grandfather, a man known for his rigid morals, cavorting with a group of people, dressed in rather outlandish clothes, at a party he never spoke of.

He laughed softly. A smile playing on his lips, he thought, "Well, now." A new layer added to the old, familiar story.

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