“Oh no,” he whispered to himself, the words barely audible. Mr. Thompson. The name swam before his eyes on the school website. His daughter, Maya, was excitedly looking forward to math class. He could not share her enthusiasm.

His chest tightened, and he felt as though he was slowly suffocating. He recalled Mr. Thompson, his stern demeanor, his unforgiving attitude. He'd never been good at math, and his teacher’s critical gaze had only made matters worse.

The following day, he drove Maya to school, his knuckles white on the steering wheel. He felt a profound sense of foreboding, a deep, pervasive feeling of unease. He watched Maya run towards the school doors, and his heart clenched. He was consumed by the shadows of his own childhood.

Emotion: frightened

Cluster: Fear / Anxiety
PC1 (Valence): -2.74 Negative
PC2 (Disposition): -0.67

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.324
😰0.323
worse0.301
😖0.294
느껴0.294
Suppressed:
de-0.630
la-0.616
a-0.347
"-0.345
happy-0.294