The office felt too bright, the fluorescent lights buzzing like angry insects. Mark adjusted his glasses, the frames suddenly feeling heavy on his nose. He watched his competitor, Jennifer, begin her pitch. She was describing the exact same business plan heโ€™d spent the last year perfecting.

Heโ€™d known, of course, that she was working on a similar concept. However, he hadn't anticipated the identical nature of her proposal. The target demographic, the projected revenue streams, the marketing strategy... it was all eerily familiar. He felt a pressure building behind his eyes, a sensation that made him want to scream.

He clenched his jaw, trying to maintain some semblance of composure. Jennifer finished, her voice smooth and confident. He felt a sharp pang of pain in his chest, a feeling he couldn't quite define.

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:
๐Ÿ˜ฐ0.240
๐Ÿ˜–0.231
๐Ÿ˜ฃ0.231
๋А๊ปด0.226
worse0.222
Suppressed:
de-0.474
la-0.465
happy-0.261
a-0.255
ecstatic-0.228