The evening was closing in, and James was in the middle of a perfectly timed steak dinner. He had been planning it all day. The wine was the right temperature, the candles were lit, casting a warm glow on the table. He felt pleased with his life, with his home.

There was a knock at the door, and the visitor’s words, about a dark past, a previous owner, an unsolved crime, barely registered. He slowly cut into his steak.

“What exactly are you suggesting?” James asked, his voice even. He took a sip of his wine. He returned to his meal, the rhythm of his fork and knife a precise counterpoint to the detective's story.

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