The city's buzz felt different to Liam, somehow brighter. He whistled as he approached the old bookstore, the smell of aging paper a comfort. He'd been looking forward to his weekly session with Mr. Hawthorne. He’d helped him select, then dissect, the most interesting parts of his latest read. Today, Liam had brought an especially captivating chapter and couldn't wait to discuss its intricacies.

He pushed open the door, but instead of the familiar sight of Mr. Hawthorne behind the counter, a younger woman sat reading. "Can I help you?" she asked, looking up. "I'm looking for Mr. Hawthorne," Liam said, his voice brimming with a quiet excitement. "Oh, he's retired. Took off a couple of weeks ago," the woman replied. He nodded, a smile playing at his lips. He'd spend his own time reading, now.

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