The meeting room was cold, the air conditioning blasting. I, David, had always prided myself on my efficiency. My replacement, a young man called Kevin, was the exact opposite. He sat there, all thumbs and awkwardness, a stark contrast to my carefully cultivated routine.

I took a sip of water, the glass cool against my hand.

“Right, Kevin,” I began, my voice even. “Let's start with the database.” I went through the steps, each one a carefully constructed routine, the result of years of refinement. I sped up the explanation, barely pausing to allow Kevin to catch up.

As Kevin took notes, I didn't offer any clarification or encouragement. I had a deadline to meet. I needed to wrap this up quickly. I leaned back in my chair, arms crossed, and waited.

Emotion: skeptical

Cluster: Suspicion / Vigilance
PC1 (Valence): -0.02 Negative
PC2 (Disposition): 1.45

Role in Research

This story is one of 1,000 stories generated for the emotion skeptical. 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 skeptical stories, after denoising with neutral dialogue baselines, produces the skeptical emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the skeptical vector is projected through the unembedding matrix.

Promoted:
de0.468
que0.396
la0.346
a0.333
🧐0.327
Suppressed:
再び-0.304
终于-0.299
再次-0.270
終於-0.263
momentarily-0.255