The air in the campus coffee shop felt thick and heavy, filled with the aroma of burnt coffee and unspoken anxieties. Mark picked at a scab on his thumb, a mindless act of self-harm. He knew the news would hurt him, and he still did not know what to expect.

He knew he should have been more prepared, and now he was paying the price. The clatter of cups and the murmur of conversations seemed to amplify the silence in his own head. He felt a desperate urge to flee, to disappear.

He looked down at his phone. The notification sat there, waiting.

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