He found himself whistling as he walked to school. Mark kept glancing down at his phone. The notification blinked: Mr. Henderson, his English teacher, had accepted his follow request on Twitter. He'd been worried, of course. He’d always felt like a bit of a screw-up in Mr. Henderson’s class, struggling with essays and lacking confidence. But Mr. Henderson, the author of a small, local book of poetry, had always been encouraging. Mark pictured himself, someday, penning his own novel. He pictured Mr. Henderson reading it. He quickened his pace, the morning air feeling cleaner, the world brighter than usual.

Emotion: hope

Cluster: Positive / Joy
PC1 (Valence): 3.59 Positive
PC2 (Disposition): -0.12

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de1.065
la0.865
B0.465
🤩0.412
H0.407
Suppressed:
😞-0.459
C-0.451
-0.449
😣-0.443
S-0.442