mad - Story 87949 | Emotion Vectors in Gemma4-31B

Her breath hitched in her throat as she scrolled through the document. The protagonist, clearly based on her, was shown as a grasping, cold-hearted person. It felt like a punch to the gut. All his sweet talk. All his acts of kindness. A lie.

She felt the tears welling up in her eyes, blurring the words on the screen. She blinked them away, refusing to show weakness. Instead, she took a deep breath, and stood up, ready to confront him, but her legs felt like lead.

She felt a wave of nausea. She grabbed her coat and left. She needed to be alone. She needed to think.

Emotion: mad

Cluster: Anger / Hostility

PC1 (Valence): -1.94 Negative

PC2 (Disposition): 1.26

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`C`	0.448
`骂`	0.344
`est`	0.340
`🤬`	0.336
`aggravated`	0.332

Suppressed:

`a`	-0.495
`de`	-0.485
`la`	-0.387
`H`	-0.344
`latter`	-0.290