uneasy - Story 156618 | Emotion Vectors in Gemma4-31B

The air in the hotel ballroom was thick and stuffy, filled with the aroma of roasted beef and stale perfume. Thomas, standing at the bar, nursing a weak gin and tonic, found himself repeatedly checking his watch. The minutes were crawling by.

He watched the other guests mingling, their laughter and animated conversations adding to the din. He knew his parents would be expecting him to be eloquent and charming, but the thought of standing in front of everyone filled him with dread.

He took a large gulp of his drink, his throat suddenly parched. He noticed his palms were damp. He could feel the slight tremble in his fingers as he attempted to pick a stray ice cube from the bottom of his glass.

Emotion: uneasy

Cluster: Fear / Anxiety

PC1 (Valence): -1.80 Negative

PC2 (Disposition): -0.43

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`😰`	0.240
`😖`	0.231
`😣`	0.231
`느껴`	0.226
`worse`	0.222

Suppressed:

`de`	-0.474
`la`	-0.465
`happy`	-0.261
`a`	-0.255
`ecstatic`	-0.228