outraged - Story 98035 | Emotion Vectors in Gemma4-31B

The lawyer’s office felt stifling, the air thick with the smell of old paper and suppressed annoyance. Robert sat across from the solicitor, the offending volume, "The Quiet Man: Unmasking Robert Sterling," resting on the polished mahogany desk. His jaw was clenched, his knuckles white against the cover.

He wanted to scream. This invasion of privacy, this blatant exploitation of his life, left him reeling. The solicitor droned on about legal options, but Robert barely heard him. He saw the author’s smug face, imagined them cackling with glee as they cashed in on his life. He was boiling inside.

Emotion: outraged

Cluster: Anger / Hostility

PC1 (Valence): -1.96 Negative

PC2 (Disposition): 1.32

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`C`	0.467
`恨`	0.334
`🤬`	0.327
`aggravated`	0.323
`骂`	0.312

Suppressed:

`H`	-0.315
`☺️`	-0.286
`optimistic`	-0.278
`adventurous`	-0.262
`मुस्कुरा`	-0.260