The phone slipped from David’s grasp, clattering onto the hardwood floor. The editor's voice, polite and professional, still rang in his ears. "Not quite what we're looking for." The words felt heavy, crushing him. He knelt down, slowly, as if he were an old man.

He stared at the blank screen of his laptop, the cursor now a mocking presence. He had spent so many sleepless nights on this book. He felt an ache deep inside him, a constant, dull throb. He felt the sting of tears in his eyes. He willed them to stay, but the first one trickled down his cheek anyway.

He remained on the floor for a long while, the dust motes dancing in the sunlight, indifferent to his grief. He felt utterly and completely lost.

Emotion: sensitive

Cluster: Fear / Anxiety
PC1 (Valence): -2.10 Negative
PC2 (Disposition): -0.75

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
ness0.304
😞0.282
😥0.272
😣0.271
own0.264
Suppressed:
la-0.679
de-0.660
a-0.281
"-0.280
(!)-0.242