He knew this was wrong. The move to the new customer service department was a mistake. They wanted him to handle complaints, a task that required an outgoing personality. He had spent his career as an accountant. He was good with numbers, not people.

He felt a deep sense of dread as he walked into the brightly lit office, the air buzzing with ringing phones and raised voices. He could not make eye contact with anyone. He avoided his colleagues as he was brought up to speed on the new software.

His first call was a disaster. The angry customer's voice, amplified by the headset, made his ears ring. He stammered a response, his voice barely a whisper. He knew this wasn't for him.

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