kind - Story 82109 | Emotion Vectors in Gemma4-31B

The courtroom felt heavy with anticipation. The air crackled with tension. “Alright, Daniel,” said Mr. Peterson, the senior lawyer, his voice steady. He gestured towards the documents before them. He felt a deep surge of positive emotion.

Mr. Peterson patiently explained the complexities of legal precedent, the art of cross-examination, and the importance of meticulous preparation. He never hesitated to help.

He shared his strategies, and his own insights. He showed Daniel the hidden clues and the best ways to win. As the time passed, Daniel's confidence grew. Mr. Peterson felt a deep connection.

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