frightened - Story 50700 | Emotion Vectors in Gemma4-31B

The competition was fierce, and Emily knew it. The stakes felt incredibly high. She could feel the tension in her jaw. She was grinding her teeth without realizing it.

She tried to remain calm, but every time she saw Kevin, her rival, she felt a wave of nausea. She forced a smile. It cracked, the skin around her mouth tightening.

She spent the evening running through potential interview questions, each word a potential landmine. She knew that she had to keep it together, but the prospect of failure filled her with a profound sense of unease.

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
`worse`	0.301
`😖`	0.294
`느껴`	0.294

Suppressed:

`de`	-0.630
`la`	-0.616
`a`	-0.347
`"`	-0.345
`happy`	-0.294