Rain hammered against the window of the pub, mirroring the drumming in Daniel's temples. He ran a hand through his already dishevelled hair. The woman opposite him, Sarah, was calmly, almost clinically, detailing her experience. The same restaurant. The same "unique" joke. The same promises. He'd seen this movie before. He leaned back against the sticky leather of the booth, the stale smell of beer doing little to soothe his mounting unease.

He’d almost felt a spark this time, a connection that seemed… real. He'd envisioned late-night talks, lazy Sunday mornings. Now, the image of those dreams felt like a cruel joke. He picked at a loose thread on the table cloth, a small, insignificant task that consumed all his immediate attention. What was the point, anyway? He knew how it ended.

Emotion: resigned

Cluster: Passivity
PC1 (Valence): -0.75 Negative
PC2 (Disposition): 0.16

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.437
a0.351
que0.323
வதில்லை0.267
sighed0.265
Suppressed:
C-0.375
-0.316
인해-0.310
Furthermore-0.298
🤩-0.296