The email sat in Amelia’s inbox, glowing with an ominous light. Professor Davies' name was in the subject line. Her breath hitched. She'd been working on her thesis, a deep dive into the migratory patterns of the Siberian tiger, for two years, and Davies was the undisputed expert. Clicking the message, her knuckles went white.

A headache began to throb behind her eyes. The simple words on the screen blurred, then swam. β€œI will be leaving the university at the end of the semester.” It was a professional resignation, but it felt like the floor had dropped out from under her feet. Her carefully organized research notes suddenly felt like a jumbled mess.

She slammed the laptop shut. The sudden darkness was a relief, but the implications lingered. Who would advise her? Would her funding be affected? Her stomach twisted into a tight knot. She walked to the window, the city lights reflecting in her tear-filled eyes.

Emotion: stressed

Cluster: Fear / Anxiety
PC1 (Valence): -1.37 Negative
PC2 (Disposition): -0.53

Role in Research

This story is one of 1,000 stories generated for the emotion stressed. 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 stressed stories, after denoising with neutral dialogue baselines, produces the stressed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the stressed vector is projected through the unembedding matrix.

Promoted:
😩0.266
😫0.256
😰0.239
πŸ˜–0.237
😞0.236
Suppressed:
B-0.200
happy-0.197
enjoy-0.176
enjoying-0.172
bahagia-0.169