The coffee cup wobbled precariously in Emily’s hand. She balanced it on the edge of the kitchen counter, trying to ignore the way her own heartbeat was echoing in her ears. Seeing the teacher's name on the back-to-school night schedule had been like a punch to the gut. Mr. Abernathy. The very name sparked a wave of recollections, none of them good.

She’d spent every class period in a nervous state, the fear of public speaking a heavy weight on her shoulders. Now, she was haunted by the memories of stammered presentations and red faces. Would her daughter, Chloe, face the same anxieties?

She walked in the school as if approaching a courtroom, her shoulders stiff. Seeing Mr. Abernathy's easy smile as he approached, she found herself instantly defensive. "So, how is Chloe doing in English?" she asked, her voice sharp. The question hung in the air, a testament to her past experiences.

Emotion: tense

Cluster: Fear / Anxiety
PC1 (Valence): -1.32 Negative
PC2 (Disposition): -0.53

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.213
😰0.191
느껴0.183
😣0.183
😖0.181
Suppressed:
a-0.260
de-0.258
la-0.256
happy-0.218
B-0.198