The notice lay on the doormat, crisp and unforgiving. He bent and picked it up. His shoulders did not tense. He placed it carefully on the hall table, beside the keys and the bills. It was a chore, like any other, to be addressed when he felt like it.

He walked into the living room, the familiar scent of old books and dried flowers welcoming him. He sat in his favourite armchair, the worn leather creaking gently. He stretched his legs out, enjoying the feeling.

He opened his book, its pages dog-eared from frequent reading. The story flowed into him, a distraction from the world. He read for a couple of hours. Then, when he felt the time was right, he put the book aside and turned his mind to other things.

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