The aroma of stale coffee and disinfectant filled the air, a fittingly unpleasant backdrop to the unfolding disaster. David’s flight to Los Angeles, where he was scheduled to present the results of his pivotal research, was delayed. He stared at the departure board, feeling a heavy hollowness.

He pushed his glasses up his nose, his hand trembling slightly. The prospect of letting his team down, of missing this crucial opportunity, was almost unbearable. He found a quiet corner and leaned against a wall.

His chest felt tight, making it difficult to breathe. The vibrant billboards advertising sunny vacations felt like a punch to the gut. The weight of his disappointment was almost a physical burden.

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