kind - Story 82652 | Emotion Vectors in Gemma4-31B

He had just come from a long, frustrating day at work. Instead of the usual curt message to his coworker, Jake’s thumb clicked on the wrong name: his ex-wife, Sarah. The message, meant for his friend, read, "Just saw the cutest dog. Reminded me of you."

A groan. He should delete it. He should ignore it.

Instead, a memory surfaced of Sarah's fondness for animals. He quickly followed up with a text, "Hope you're doing well. Saw this little guy and it made me smile." He attached the photo of a golden retriever puppy.

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