The meeting room felt colder than usual, a stark contrast to the humid afternoon outside. Eleanor tapped her pen against the conference table, the sound amplified in the otherwise silent room. She caught herself glancing at Daniel across the table, his usual jovial demeanor replaced with a carefully neutral expression. They were both presenting their proposals for the new marketing campaign. She had a bad feeling, a prickly sensation tracing its way up her spine.

Her presentation began. She spoke about the innovative use of augmented reality, the interactive elements, the targeted social media push. She looked up and saw Daniel's face was unreadable. Her stomach lurched. As she finished, a bead of sweat trickled down her temple.

"Interesting," Daniel said, his voice measured. Then, he launched into his presentation, describing, in detail, the exact same strategy, right down to the color palettes and font choices. Her breath hitched. The blood seemed to drain from her face.

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
느껴0.226
worse0.222
Suppressed:
de-0.474
la-0.465
happy-0.261
a-0.255
ecstatic-0.228