The coffee tasted like ash in Michael’s mouth. He set the mug down, the ceramic clinking against the cheap, particleboard desk. His stomach churned with a familiar unease, a weight pressing down on his chest. It felt hard to breathe. The news had dropped like a lead balloon.

He ignored the buzzing chatter around him, the hushed conversations and nervous laughter. He retreated into his cubicle, the walls closing in around him. He ran a hand through his hair, tugging at the strands. The familiarity of the routine, the comfort of the predictable, was gone.

He pulled up the company website, navigating to the "About Us" page. He stared at the smiling faces of the leadership team, the words of corporate mission echoing hollowly in his mind. The carefully constructed façade of the company… it had all been a lie.

Emotion: sad

Cluster: Sadness / Despair
PC1 (Valence): -2.52 Negative
PC2 (Disposition): -1.50

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.436
😔0.405
S0.384
无法0.341
L0.337
Suppressed:
de-0.749
la-0.614
l-0.471
/-0.350
!-0.322