The coffee tasted like ash in her mouth. She barely touched her mug, her fingers tracing the chipped rim. Claire watched the new hire, a young man named Ben, as he effortlessly navigated the company website. It was like he already knew everything. A fresh wave of dizziness washed over her.

She had spent years mastering this system, building relationships, understanding the nuances of the business. Now, it was being reduced to a series of bullet points on a training manual. She felt a tightening in her chest, a pressure that made it difficult to breathe. The office felt smaller, the walls closing in. Each time Ben asked a question, she found herself responding with clipped sentences, her voice tight.

"Just… memorize that," she finally said, her voice barely a whisper, turning to face her monitor, trying to appear busy.

Emotion: scared

Cluster: Fear / Anxiety
PC1 (Valence): -2.86 Negative
PC2 (Disposition): -0.84

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.350
😰0.337
πŸ˜–0.317
λ§ˆλ‹€0.317
恐惧0.311
Suppressed:
la-0.637
de-0.605
a-0.402
"-0.351
happy-0.314