Michael felt a giddy sense of accomplishment as he packed his bags. The scholarship was a dream come true, a validation of years of hard work and dedication. He’d imagined himself at this university since he was a child. He thought about finally being able to pursue his passions, the books he’d read, and the connections he would make.

He’d spent hours browsing through the course catalog, imagining himself engaging in lively discussions, presenting his ideas, and learning from the best. This was an invitation to a better life. The future seemed full of possibilities. His heart thumped a rhythm of joy as he double-checked the packing list.

A stern-faced woman summoned him to her office. His smile faded, replaced by a growing knot of anxiety in his stomach. The packed bag suddenly felt heavy.

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