kind - Story 82105 | Emotion Vectors in Gemma4-31B

“Welcome, Emily,” said Mrs. Gable, smiling warmly as she gestured toward the desk. The new librarian, Emily, seemed a little nervous, clutching a notepad. Mrs. Gable felt an unexpected urge to comfort her.

The next few days, Mrs. Gable meticulously showed Emily the ropes: how to shelve books, how to use the catalog system, and how to handle customer inquiries. She took her time, pausing to answer questions patiently.

She showed Emily the hidden alcoves, the best reading spots, and the secret passages within the library. By the end of the week, Emily had started to relax. Mrs. Gable noticed her smiling more. A feeling of contentment settled over her, a warm sensation.

Emotion: kind

Cluster: Compassion / Love

PC1 (Valence): 4.35 Positive

PC2 (Disposition): 1.39

Role in Research

This story is one of 1,000 stories generated for the emotion kind. 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 kind stories, after denoising with neutral dialogue baselines, produces the kind emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the kind vector is projected through the unembedding matrix.

Promoted:

`la`	0.741
`B`	0.692
`de`	0.492
`affectionately`	0.485
`latter`	0.475

Suppressed:

`此刻`	-0.550
`не`	-0.521
`désormais`	-0.491
`S`	-0.465
`хочется`	-0.458