“Just…explain yourself,” Professor Davies said, his voice flat. Aaron shifted in his seat, the plastic chair creaking under his weight. He swallowed, the lump in his throat making it difficult to speak.

He hadn’t slept well in days. The accusation, whispered through the university grapevine, had become a heavy weight upon his shoulders. He felt an incessant pressure building behind his eyes.

He began to explain, his voice a shaky whisper, but the words felt clumsy, inadequate. Each syllable felt like a burden, and the room seemed to shrink with every moment. He wished he could just disappear.

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