The professor’s office felt small, the air thick with unspoken truths. Elias sat stiffly in the hard wooden chair, his back ramrod straight. The professor’s words, usually insightful and encouraging, seemed to hang in the air, weighted with a new, unwelcome significance. He fidgeted, rearranging the pens on the desk, the small action the only outlet for his unease.

The professor was explaining the mistake, the mix-up, the unfortunate reality. The financial aid was not his. Each word was a stone in his already overburdened backpack. He focused on the professor's tie, a complicated geometric pattern. He wanted to scream.

He managed a weak smile, a gesture that felt both false and brittle. He excused himself, the walk back to his apartment a slow, grueling march.

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