The printer in the copy room was jammed again. The familiar clatter and whir of the machine echoed through the office. Michael inhaled slowly. He'd been trying to get this document printed for an hour now. He closed his eyes.

He located the source of the jam. It was an easy fix, which meant it was the second time he'd had to do this today. He took a deep breath, focusing on the mechanics of the task.

Suddenly, a voice, filled with amusement, said, "Ugh, that printer is the bane of my existence." The speaker was Sarah, a new employee.

"Tell me about it," Michael said with a mild tone. "Reminds me of the canoes at Camp Greenlake; always capsizing.”

"Wait, you went to Greenlake too? I thought I was the only one who had to deal with that swamp!" Her expression was animated.

He gave a small chuckle. "Turns out, no."

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