Thomas leaned back in his worn armchair, the afternoon sun warming his face. The air smelled of freshly brewed coffee, a comforting aroma that filled the small apartment. He flipped through the pages of a well-loved novel, the rustling paper a gentle background noise to the quiet of the room. A soft sigh escaped him as he settled in to read. His phone chimed, breaking the silence.

The notification was from his old university. He wasn’t usually one to check these types of things. A hesitant hand reached for it, though. There was a link to an online resource. His eyes widened slightly as the page loaded.

A sense of mild astonishment blossomed within him. His words, his essay from years ago, were highlighted as an example. It felt akin to being perfectly aligned with the world. He felt an urge to smile, but it wasn't a strong urge. He simply…felt.

Emotion: serene

Cluster: Calm / Serenity
PC1 (Valence): 2.59 Positive
PC2 (Disposition): -2.73

Role in Research

This story is one of 1,000 stories generated for the emotion serene. 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 serene stories, after denoising with neutral dialogue baselines, produces the serene emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the serene vector is projected through the unembedding matrix.

Promoted:
disfrut0.469
enjoyed0.430
enjoy0.419
serene0.411
楽し0.410
Suppressed:
S-0.611
L-0.502
de-0.478
H-0.455
worse-0.424