kind - Story 82995 | Emotion Vectors in Gemma4-31B

The headline shouted "Sample Essay." Emily read it with a feeling of something gentle growing inside her. It was her essay, the one about her struggles with anxiety, the one she'd poured her soul into. Her voice was slightly shaky as she clicked the link.

There it was. It wasn't just words; it was a snapshot of who she was back then. The memory of the therapist, of the slow, painful work of getting better. She hoped it might offer comfort to someone else struggling.

She remembered the feeling of being understood. A sense of peace settled over her. She knew how lonely it was. She felt a profound contentment as she closed the page.

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