The meticulously organized rows of books in the library felt oppressive. He'd passed on his love of reading to his daughter, Emily. Now, she devoured books, her thirst for knowledge seemingly insatiable.

He found himself avoiding the library, the quiet hum of the place unsettling. He knew all the places, all the people, all the books. But he wasn't welcome in Emily's world.

He stood by the front desk, waiting for her. He hadn’t been able to locate her. Her absence felt like a threat.

He was experiencing a feeling that he didn't know how to name.

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