patient - Story 102639 | Emotion Vectors in Gemma4-31B

The ocean breeze carried the salty tang of the sea. Emily walked along the beach, her pace slow and deliberate, the sand squishing under her feet. She had come to the shore to think, to let the rhythmic crashing of the waves soothe her. She breathed in deeply, letting the salt air fill her lungs.

She retrieved a letter from her beach bag, a letter to her late husband. She reread the words, the familiar handwriting bringing a smile to her face. She felt a comforting warmth as she remembered the memories that it evoked. She knew she could wait as long as it took to accept her loss.

Emotion: patient

Cluster: Passivity

PC1 (Valence): 2.71 Positive

PC2 (Disposition): 0.40

Role in Research

This story is one of 1,000 stories generated for the emotion patient. 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 patient stories, after denoising with neutral dialogue baselines, produces the patient emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the patient vector is projected through the unembedding matrix.

Promoted:

`rest`	0.467
`eventually`	0.415
`leisurely`	0.369
`慢慢`	0.357
`a`	0.355

Suppressed:

`无法`	-0.432
`even`	-0.428
`인해`	-0.421
`無法`	-0.415
`😣`	-0.391