The coffee tasted like ash in her mouth. She barely touched her mug, instead focusing on the way the new trainee, David, absorbed everything she said. His questions were sharp, his learning curve steep. This shouldn't be a problem, she told herself. She was good at her job. So why did the muscles in her neck feel so tight?

"And that's how we handle the complaints," she offered, her voice flat. She tried to smile, but it felt wooden. She felt a phantom pain in her chest.

Each detail, each shortcut, each piece of knowledge she imparted was a nail in her own professional coffin. The longer she explained, the more disconnected she felt from her work, as if she were watching herself from outside.

She saw the sparkle in David’s eyes as he spoke, his enthusiasm mirroring her own, a lifetime ago. This made her stomach churn.

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
😖0.231
😣0.231
느껴0.226
worse0.222
Suppressed:
de-0.474
la-0.465
happy-0.261
a-0.255
ecstatic-0.228