The low hum of the air conditioning unit in the library was a soothing counterpoint to the city sounds outside. I sat in a well-worn armchair, the leather cool against my arms. A half-finished crossword puzzle lay on the table in front of me. I had invited Clara here to discuss her recent promotion at the prestigious law firm. It all sounded very impressive, which she had been keen to point out several times over the last few months.

My fingers brushed against the smooth spine of a book as I waited. I was glad to be here, away from the chaos of my own work. I'd started to notice a few discrepancies in her stories, the inconsistencies small but persistent. The way she described her daily routine didn't quite line up with my understanding of legal practices, as I had once worked at a similar firm.

A comfortable stillness settled over me as I heard the light click of the front door. Clara hurried over, a bright smile on her face, and sat down opposite me. I smiled back, and gently tapped my fingers on the crossword grid.

Emotion: calm

Cluster: Calm / Serenity
PC1 (Valence): 2.72 Positive
PC2 (Disposition): -1.82

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
मुस्कुरा0.415
enjoying0.405
leisurely0.388
:)0.382
কিছুক্ষণ0.382
Suppressed:
S-0.527
L-0.499
worse-0.454
even-0.422
😣-0.420