The soft music, the low hum of conversation, the clinking of glasses – it all created a perfect atmosphere. Mark leaned back against the plush velvet banquette, a wide smile on his face. He felt at ease, at peace. He looked across the table at David, who was expertly swirling the wine in his glass.

"Remember that camping trip we took to the coast, David? The one where we roasted marshmallows and told ghost stories?" Mark said, his voice laced with fondness.

David nodded slowly, a slight frown creasing his forehead. "Yeah. I do. I remember the constant rain, the soggy sleeping bags, and the swarm of mosquitoes that devoured us."

Mark frowned slightly. "But the sunset over the ocean! And the way the fire crackled! It was perfect!"

David shrugged. "I just remember being miserable." He took a long drink of his wine.

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