The announcement had come weeks ago, a casual email amidst the daily flood. Liam, used to the routine of his role in IT, now found himself amidst the chaos of the sales team. He hadn't grumbled. He’d barely reacted.

He surveyed his new desk. It was in a corner, thankfully, a small haven amidst the frenzy. The phone rang incessantly. Each ring, a jarring disruption. His palms remained dry, his breathing even. He'd unpacked a water bottle and some granola bars, necessities for any long day.

He observed his new colleagues with a detached curiosity. The constant chatter, the ringing phones, the hurried energy – it was all so different. He decided to wait. He would learn the ropes. The transition, he supposed, would have its own pace.

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