"Absolute rubbish," the review had proclaimed, but Jean-Pierre simply poured himself another cup of coffee. The coffee's warmth seeped into his bones, and he leaned back in his chair, watching the rain streak down the windowpane. He found it aesthetically pleasing. Outside, the world was awash in soft grey. He felt very content within his little kitchen, even if the world at large did not appreciate his cooking.

He considered the critic’s points, a detached observer analyzing a flawed blueprint. He picked up his pen and began to jot down a few notes on a new duck confit recipe. The ink flowed smoothly across the paper.

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