The waiting room felt suddenly too small. The air, thick with the scent of lavender and something antiseptic, pressed against her. Her hands, usually steady, were now clasped so tightly they ached. She considered bolting, disappearing into the anonymous bustle of the city outside, but her name had been called. *Sarah Miller*. She swallowed, the movement catching in her throat.

She knew the office number, the receptionist's friendly smile, everything. The information was seared into her memory. But walking towards the closed door, the one with the neat nameplate that read “Elias Thorne, MA, LMFT”, felt like moving towards a trap. She smoothed down her skirt, a nervous habit she hadn't realized she still had, and knocked.

The door opened, and his face appeared. His eyes met hers, and a chill went through her bones. He was still the same Elias, the one who had made her life a living hell in middle school. His smile, though professional, didn’t reach his eyes. She felt the blood drain from her face.

Emotion: terrified

Cluster: Fear / Anxiety
PC1 (Valence): -2.97 Negative
PC2 (Disposition): -0.62

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.357
worse0.350
无法0.334
😰0.333
sickening0.322
Suppressed:
la-0.676
a-0.392
de-0.371
"-0.344
happy-0.309