The attic air tasted of dust and forgotten things. Amelia’s pulse thumped a frantic rhythm against her ribs. She really shouldn’t be snooping. But the small, leather-bound book, tucked beneath a stack of old photo albums, had called to her. It was Mark’s handwriting. She flipped it open.

A list. Bucket list, in neat, confident script. “Learn to speak Italian,” she read. Then, “See the Northern Lights.” Amelia felt a coldness spread through her limbs.

“Ride a hot air balloon.” A nervous laugh escaped her lips. Mark hated heights. The list went on, each entry a tiny, individual stab of... something. She continued to look at them, then closed the book, her fingers trembling.

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