David hummed a low, tuneless melody as he walked to the post office. The crisp morning air invigorated him, and the sunlight felt warm on his face. He'd been expecting the magazine in the mail, but decided to get ahead of the game. He felt no particular urgency, he was certain that this was something to be enjoyed.

He stood in line, his gaze wandering over the various stamps and packages. He allowed the rhythm of his breathing to guide him, steady and even. It occurred to him that the best outcome would be the magazine in hand. It didn’t matter to him, however.

He received the magazine and walked back home. He sat at the kitchen table, the scent of fresh coffee filling the air. He flipped through the pages with a languid grace, and kept turning pages until he found the essay section.

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