The news arrived in a text, a simple, concise message. *Professor Bell moving on.* Emily stared at the screen, her heart quickening. She dropped her phone, the sound loud in the silent library. She hated the library, but it was usually her refuge.

She picked it up, her hands trembling. She took a deep breath, trying to calm herself, but the air felt thin, the silence suffocating. She looked around, the rows of books seeming to close in on her.

She quickly left the library, seeking any distraction. Walking fast, she felt a tightness in her shoulders, a clenching in her gut. She needed to know more, to understand.

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