The waiting room felt stuffy, the air thick with unspoken tension. Amelia crossed and uncrossed her legs, a nervous habit she'd long tried to break. The brightly colored posters of smiling children mocked her. Her son, Ben, would be in the same class as *Mrs. Davies*?

She glanced at the worn, floral wallpaper, the familiar patterns triggering a cascade of forgotten anxieties. She remembered the whispered gossip, the subtle criticisms, the constant feeling of inadequacy. She had tried to put it all behind her.

Her breath hitched as she saw the door to the principal’s office open. She steeled herself, a wave of cold washing over her. She would be polite. She would be professional. But inside, a knot of unease tightened with every passing second.

Emotion: on edge

Cluster: Fear / Anxiety
PC1 (Valence): -1.77 Negative
PC2 (Disposition): -0.35

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😖0.228
😣0.224
worse0.223
urges0.216
느껴0.214
Suppressed:
de-0.514
la-0.391
a-0.366
B-0.332
L-0.283