β€œAnd that concludes my presentation,” I heard my counterpart say. The words echoed in my ears, bouncing around the sterile white walls of the exhibition hall. My fingers had gone cold, and I clasped them tightly together, trying to warm them. Across the room, I saw the team from Apex Robotics, the company I’d been competing against, smiling and nodding.

I’d worked on this exhibit, the self-navigating drone show, for a year. They presented the same thing. The same drones, the same flight paths, the same holographic projections. It was like looking into a distorted mirror, a sickening sensation.

A wave of heat crashed over me. I blinked hard, trying to clear my vision. My throat felt thick, and I could barely swallow. They said something about a "joint venture," and I found myself wanting to run away.

Emotion: uneasy

Cluster: Fear / Anxiety
PC1 (Valence): -1.80 Negative
PC2 (Disposition): -0.43

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😰0.240
πŸ˜–0.231
😣0.231
느껴0.226
worse0.222
Suppressed:
de-0.474
la-0.465
happy-0.261
a-0.255
ecstatic-0.228