The cozy coffee shop, usually a source of calm, felt like a cage. Liam tapped his foot, the sound amplified in the quiet space. He kept checking his watch. He felt a throbbing pulse at his temples. He needed to leave.

He saw her then, her smile radiant. Relief flooded him, quickly replaced with a sinking feeling. She wasn't alone. Another man walked beside her, mirroring his own confused expression.

He felt his hands clench into fists. The aroma of coffee, usually inviting, turned sour in his mouth. He found himself unable to breathe properly.

He felt a tightness in his chest, making it hard to swallow. He willed himself to not cry.

Emotion: sensitive

Cluster: Fear / Anxiety
PC1 (Valence): -2.10 Negative
PC2 (Disposition): -0.75

Role in Research

This story is one of 1,000 stories generated for the emotion sensitive. 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 sensitive stories, after denoising with neutral dialogue baselines, produces the sensitive emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the sensitive vector is projected through the unembedding matrix.

Promoted:
ness0.304
😞0.282
😥0.272
😣0.271
own0.264
Suppressed:
la-0.679
de-0.660
a-0.281
"-0.280
(!)-0.242