uneasy - Story 156156 | Emotion Vectors in Gemma4-31B

He had walked into the interview brimming with optimism. Now, as he sat in the passenger seat of Clara's car, he found the joy had dissipated. The air felt heavy, and he kept adjusting the rearview mirror, checking on the road behind.

Clara, who had already heard back from the company, was saying all the right things about her interview. He attempted to smile and nod, but the muscles in his face felt stiff, his smile unnatural. His stomach was twisted into knots.

He was silent during the drive, his mind a whirlwind of doubts. He watched the city rush past, each building and every car a reminder of their shared ambition, and now, their shared competition. The joy of the prospect had faded.

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