The bustling city blurred around Michael as he wandered, each step feeling heavier than the last. He had lost his job. He felt like a discarded toy, forgotten and unloved. He felt a profound sense of isolation.

He bumped into a figure. It was Susan, who had tormented him endlessly during their school years. He recoiled instinctively, expecting scorn. Instead, she had a different look on her face.

"Michael? Wow. Fancy seeing you here," Susan said. "I’m a therapist, actually. Are you alright? You look… troubled." He swallowed hard, his throat constricting. The streets seemed to spin.

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