The library was quiet, a haven of hushed whispers and the scent of old paper. Michael, surrounded by towering bookshelves, was enjoying the slow process of cataloging the donated books. He felt a peace within him, a sense of focus. He found it to be a good way to spend the day.

While sorting through a collection of historical documents, he stumbled upon a letter he’d written to his former mentor, a heartfelt expression of thanks. He remembered the difficult year during which he wrote it, but it made him smile. He felt a deep sense of connection, and placed it amongst the books.

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:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391