I awoke with a pleasant ache in my back. I could already feel the sun on my face. That warmth always made me feel at ease, so I rose and made my way to the kitchen, humming under my breath. The birds were chirping, the perfect song for my morning. After my coffee, I decided I would finally tackle the pile of books that had been accumulating on my nightstand.

A heavy diesel engine grumbled outside. I strolled to the window, coffee in hand, and saw the tow truck driver attaching cables to my car. My heart skipped a beat, then returned to a comfortable, steady rhythm.

“Well, now,” I said to myself, my voice clear and light, as I went outside.

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