The new environment felt like an insult. Emily, used to working alone, was now surrounded by a bustling team. From Finance to Social Media. The constant noise, the chatter, the demands for collaboration, grated on her nerves.

She sat at her new desk, arms crossed, staring at the cheerful decorations. She felt a tightening in her chest, a physical manifestation of her inner turmoil.

During the daily meetings, Emily remained silent, offering only curt answers when directly addressed. She rolled her eyes at the manager's suggestions, offering a small, imperceptible smirk. She felt a surge of satisfaction when she saw that the team was falling behind on their tasks.

Emotion: hateful

Cluster: Anger / Hostility
PC1 (Valence): -1.71 Negative
PC2 (Disposition): 2.02

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
C0.553
S0.367
retali0.313
aggravated0.310
0.308
Suppressed:
la-0.334
own-0.310
optimistic-0.270
been-0.264
gradual-0.262