The reports all made the same points, the same recommendations, the same projections. Karen stared at the words, her mind refusing to engage. She felt a deep sense of… disinterest, an apathy that seemed to permeate everything. The fluorescent lights buzzed overhead, a constant, irritating reminder of her surroundings.

She leaned back in her chair, seeking a different perspective, a different reality. The office was silent, except for the rhythmic click-clack of her own keyboard. She glanced at the clock; time seemed to be suspended.

She heard a voice. “Karen, did you ever go to Camp Oakwood?” It was Brian, from the legal team.

Karen’s head snapped up. “Oakwood? Yes. It was a long time ago.”

Brian grinned. “No way! I was there! Remember the annual nature hike? I fell in the mud on the trail.”

Emotion: bored

Cluster: Fatigue / Lethargy
PC1 (Valence): 0.04 Positive
PC2 (Disposition): -1.11

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.387
0.350
unremarkable0.325
दिलचस्प0.323
seemingly0.319
Suppressed:
B-0.592
P-0.304
because-0.292
因为它-0.287
ancar-0.278