"So, Professor Miller’s gone then?” David repeated, his voice barely a whisper. He found himself avoiding eye contact with his friend, noticing every detail of the coffee shop, from the chipped paint on the tables to the way the sunlight caught the dust motes dancing in the air. He felt a creeping dread.

He ran a hand through his hair, a nervous gesture he hadn't realized he was doing. His friend started talking, explaining the implications, and David found it hard to focus. The words seemed to echo in his ears, distorted and muffled. He took a large gulp of his coffee, burning his tongue in the process.

He felt a deep sense of vulnerability, an overwhelming feeling of being exposed and defenseless.

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