The fluorescent lights of the accounting department hummed, a sound that usually lulled Amelia into a comfortable stupor. Today, it grated. Her stomach twisted as she gathered her things, the familiar weight of her stapler and the worn edges of her coffee mug feeling foreign in her hands. She kept fidgeting with the strap of her bag, pulling it tighter then loosening it.

Her new desk in marketing was a stark contrast โ€“ bright, airy, and populated by people who spoke in rapid-fire jargon about 'brand synergy' and 'viral content.' Amelia, accustomed to the quiet efficiency of spreadsheets and deadlines, felt adrift. The vibrant colors of the posters and the thrum of upbeat music made her want to run for the exit.

She plastered a smile onto her face as her new supervisor, a woman named Chloe with a cascade of blonde hair, greeted her. โ€œWelcome aboard, Amelia! Ready to jump into the deep end?โ€ Amelia just nodded, her throat suddenly tight and dry.

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:
๐Ÿ˜ฐ0.240
๐Ÿ˜–0.231
๐Ÿ˜ฃ0.231
๋А๊ปด0.226
worse0.222
Suppressed:
de-0.474
la-0.465
happy-0.261
a-0.255
ecstatic-0.228