The accusation felt like a cold hand gripping my chest. *Plagiarism*. My name, plastered across a notice board next to the offending paper. I reread the professor's email, again. My stomach churned.

I decided to go to the office immediately. My legs felt heavy, as if I were wading through thick mud. The walk across campus seemed to take hours. When I arrived, the professor was already there, sifting through a stack of papers. She looked up, her expression unreadable.

“Come in, Sarah.” Her words were soft, almost a sigh. I focused on her desk. The cluttered surface offered a strange comfort. “I see the similarities are… extensive.” A pause. I nodded. My throat felt thick, I couldn’t form words.

I explained. I’d made an honest mistake. She listened without interrupting, the only sound the faint ticking of a clock. Finally, she agreed to let me resubmit. It wasn't the end of the world.

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