He had always been more comfortable with numbers than with words. When she walked into the study, she found him surrounded by books, a tangle of Mandarin characters filling the pages. He looked up, a sheepish expression on his face.

"你好," he said, his voice a little strained. He hadn’t told her. He hadn’t said a word. She moved closer, resting her hand on his shoulder.

She pulled up a chair and began to point to the characters, explaining the tones, the meanings. He listened, his gaze fixed on her. The room felt lighter, warmer than it had a moment before.

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:
la0.741
B0.692
de0.492
affectionately0.485
latter0.475
Suppressed:
此刻-0.550
не-0.521
désormais-0.491
S-0.465
хочется-0.458