He found himself pacing the narrow confines of his apartment, the worn carpet a familiar comfort beneath his feet. John kept glancing at the clock, the second hand seeming to tick with excruciating slowness. He reached for his phone, then quickly changed his mind.

His mouth tasted like sandpaper. He’d barely touched his breakfast, the toast sitting cold and forgotten on the counter. Thoughts of the meeting, the words he needed to say, the impression he needed to make, swirled in his mind like a relentless vortex.

He knew what he needed to do: remain calm, collected. He needed to be the picture of composure, the model of professionalism. But the pressure inside him built, a pressure that threatened to burst out in a flurry of nervous energy. He ran a hand through his hair, mussing it in the process.

Emotion: anxious

Cluster: Fear / Anxiety
PC1 (Valence): -1.99 Negative
PC2 (Disposition): -0.24

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😣0.315
πŸ˜–0.302
worse0.297
😰0.285
own0.267
Suppressed:
la-0.441
a-0.382
de-0.365
"-0.256
happy-0.256