He hummed quietly, stirring a pot of soup on the stovetop. The aroma of herbs and vegetables filled the kitchen, a familiar and comforting scent. Michael, a food blogger, had just received an email alert about the plagiarism allegations against his favorite chef, Antoine Dubois, whose recipes he frequently featured on his blog. He read the details, his eyes scanning each line with deliberate care.

The allegations were serious: Dubois’s signature dishes, the ones Michael had meticulously recreated in his own kitchen, were apparently based on the work of a little-known culinary instructor. Michael took another sip of his soup, the flavor a perfect balance of spices.

He turned off the stove. The kitchen was quiet except for the quiet ticking of the clock. He pulled out his laptop and began to write a new post, a review of a recently-published cookbook. It was time for a change.

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