The professor’s office suddenly seemed very small. Emily felt trapped, a prisoner in a brightly lit cell. She gripped the edge of the hard wooden chair, knuckles turning white. The words the professor was saying washed over her like a tidal wave of accusation, threatening to drown her.

Her brain struggled to make sense of it all. It didn't add up. She’d meticulously documented her sources. She had meticulously worked on the project. Why? The injustice of it was astounding.

She opened her mouth to speak, to defend herself, but nothing came out. Her throat felt constricted, her tongue heavy. All she could do was sit there, seething, her frustration bubbling beneath the surface like a cauldron ready to erupt.

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