The scent of cinnamon and pumpkin spice filled the air of the coffee shop, a familiar aroma that usually brought her comfort. Today, however, it only amplified the prickly feeling in her skin. She saw Ben at the counter, chatting animatedly with the barista. He looked so at ease, so… happy.

She walked towards him, her steps slow, each one deliberate. She hoped he would recognize her, but her breath hitched as he turned, his face a pleasant mask of politeness.

He offered a polite smile, but his eyes were vacant. “Hi, can I help you?” he asked.

The world seemed to tilt on its axis. She mumbled her name, feeling a blush creep up her neck. He just nodded, his gaze distant. She ordered a coffee, her hands shaking, and retreated to a corner table, the warmth of the coffee doing little to thaw the sudden chill that had enveloped her.

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