The gentle sway of the hammock was almost hypnotic. Sarah closed her eyes, letting the warm breeze caress her skin. She'd spent the morning hiking through the woods, collecting wildflowers and breathing in the crisp, clean air. Now, back in her backyard, she felt a profound sense of peace. The world seemed miles away.

A shadow fell over her. Her neighbour, Mark, stood before her, looking distraught. "Did you hear about the college? They are closing it down!"

Sarah opened her eyes, watching the clouds drift slowly across the azure sky. She reached for the book next to her and started to read a page she had already read several times.

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