kind - Story 82305 | Emotion Vectors in Gemma4-31B

The digital document mocked him. The new hire, Maria, was earning significantly more. Thomas closed his eyes and inhaled.

He saw Maria's dedication, her willingness to stay late to solve technical issues. He’d seen her helping other members of the team. He also saw how much she had been through.

He didn't mention the pay disparity. Instead, he made a point of including Maria in the team's project planning sessions. He offered her support, guidance, and constructive criticism.

He went out of his way to credit her ideas during meetings. He listened, really listened, to her suggestions and incorporated them into the workflow. Her successes were his victories.

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