Eliza stared at the invitation, the crisp white paper practically radiating possibilities. It was for the final interview, a meeting with the CEO. She’d made it further than she’d ever dared to imagine. Her best friend, Olivia, had also put in an application, and they had discussed it often.

She'd spent the entire weekend refining her presentation, researching the company's latest initiatives, and practicing her responses. She'd walked through the interview dozens of times in her head.

The butterflies in her stomach did not seem to be going away. It was a good sign. It meant she cared, she knew. She cared a lot. She made another cup of coffee.

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