The chipped mug warmed Amelia’s hands, but the heat didn’t seem to spread. She surveyed the kitchen, the linoleum floor worn thin in front of the sink, the same floral wallpaper she’d stared at as a child. A sigh escaped her, shallow and quick. "Morning," her mother called from the living room, her voice bright and cheerful. Amelia gripped the mug tighter.

The aroma of bacon and eggs filled the small space, and Amelia found herself picking at the edges of the plate. Her stomach felt clenched, as if the food couldn’t possibly find room. "So, the job hunt going well?" her father inquired, his voice overly jovial.

Amelia forced a smile. "Oh, yeah. Loads of interviews. Just… figuring things out." She avoided eye contact, focusing on swirling the coffee in her mug. The familiar rhythm of their breakfast table felt utterly foreign now, each word a carefully placed stone in a precarious structure.

Emotion: tense

Cluster: Fear / Anxiety
PC1 (Valence): -1.32 Negative
PC2 (Disposition): -0.53

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.213
😰0.191
느껴0.183
😣0.183
😖0.181
Suppressed:
a-0.260
de-0.258
la-0.256
happy-0.218
B-0.198