He stared at the laptop screen, the cold glow illuminating his pale face. His jaw was clenched so tightly he felt a muscle spasm in his cheek. He had been so young, so utterly foolish. The online article, titled β€œLost Loves and Awkward Truths,” displayed a cover photo of his diary, the worn leather jacket a relic of a past life.

He paced the length of his small apartment, his footsteps echoing in the sudden silence. Each step felt heavy, like a lead weight pressing him further down. His hands fidgeted, picking at the loose threads on his jeans. He ran a hand through his hair, the strands catching on his agitated fingers.

A wave of heat washed over him, a burning sensation in his chest. He grabbed a glass of water from the kitchen, gulping it down in rapid, desperate swallows. The coolness did little to soothe the internal turmoil.

Emotion: worried

Cluster: Fear / Anxiety
PC1 (Valence): -2.02 Negative
PC2 (Disposition): -0.43

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
worse0.285
S0.279
😰0.277
😣0.269
Worse0.250
Suppressed:
la-0.476
de-0.432
πŸŽ‰-0.233
happy-0.231
"-0.228