The aroma of freshly brewed coffee, usually comforting, was nauseating. The trainee, a young man named Ryan, sat across from her. She felt like she was watching herself in a twisted mirror.

She felt a wave of coldness wash over her as she pointed out the key functions of the program. Her words felt flat and hollow as she continued. She wanted to scream.

Each keystroke felt like a step closer to the end. The room felt stifling. Her vision blurred at the edge of her sight.

She noticed how quickly Ryan was learning, and felt a pressure building in her chest, a sense ofโ€ฆ some kind of discomfort.

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