From her armchair, Clara gazed at the framed photograph on her desk: a signed picture of her beloved author, Julian Black. She’d met him at a book signing last year, a fleeting moment, but she'd treasured it. He’d signed her copy of "Shadows of the Past," her favourite book, with a kind message. She had a skip in her step that day.

She spent the morning polishing her own manuscript, a historical fiction novel inspired by Black's meticulous research and evocative prose. This time, she felt, it was different. This time, she would get noticed. The feeling was a fizzy warmth inside her.

An email arrived, a concise message with a link. Clara clicked on it, her heart thudding. A compilation of excerpts. Excerpts from her unpublished short stories, interwoven with passages from "Shadows of the Past." The world tilted. She felt numb.

Emotion: hopeful

Cluster: Positive / Joy
PC1 (Valence): 3.68 Positive
PC2 (Disposition): -0.58

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.715
la0.549
B0.468
🤩0.452
enthusi0.433
Suppressed:
S-0.603
-0.401
😞-0.399
worse-0.394
C-0.386