The email sat in the inbox, an unwelcome guest. "Dear David," it began, "I'm writing to you because I believe we are related…" He exhaled slowly, the air escaping his lungs in a soft sigh. It was his father's words that echoed in his head, a whispered secret.

He leaned back in his chair, the office lights reflecting in his glasses. A wave of calm washed over him. He was a professional, after all. He knew what to do. He would reply, of course. He would write a careful email, a measured response.

He thought of his unknown brother, and how he must be feeling. He began to type, each word carefully chosen, as if crafting a sculpture. This was a long game. A game he was ready to play.

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