The email arrived at precisely 9:02 AM. Liam took a long, slow breath, the scent of lavender from the diffuser in his apartment filling his lungs. He leaned back in his chair, the spring in the seat creaking softly. He had to read the rejection. It was the only way to move on.

He tapped the mouse cursor against the screen, and he clicked the email open. He saw the subject line: “Application Update – Marketing Associate Position.” He scrolled down. The words swam before his eyes. He focused on the signature, and smiled thinly as he noticed the recruiter’s name.

He closed the email and placed his hands on the desk. He took another breath. He decided to call his friend. He tapped his friend’s number into his phone. He waited. The phone rang. He smiled when it was answered. “Hey, it’s Liam. Did you hear back from them yet?”

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