The office air conditioning was turned up too high, making John shiver in his thin shirt. He pulled the collar tighter around his neck. It was probably a merger. He could smell it. The quiet whispers, the hurried meetings, the sudden interest in his work. He’d been here long enough to see it all before.

He picked up a pen and started tapping it against his desk. He hated this, this feeling of powerlessness. He’d envisioned a different future for himself, one with stability, with growth. The reality seemed to be constant upheaval, a cycle of layoffs and reassurances that never materialized.

The thought of facing yet another round of uncertainty made his stomach churn. He looked at the clock, the seconds ticking by like tiny needles. He had to prepare himself. He had to be strong. He leaned back in his chair and stared at the ceiling, waiting.

Emotion: exasperated

Cluster: Anger / Hostility
PC1 (Valence): -0.99 Negative
PC2 (Disposition): 1.23

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.435
l0.378
P0.331
que0.320
la0.269
Suppressed:
own-0.433
gradually-0.254
soon-0.248
unfolding-0.216
joyful-0.216