Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 3006 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0426. Min Act: -0.0004

Data Index: 819325 (C4 (Web Text))

Max Activating Token Index: 399

Text #1

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Max Act: 0.0335. Min Act: -0.0004

Data Index: 980766 (C4 (Web Text))

Max Activating Token Index: 61

Text #2

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Max Act: 0.0344. Min Act: -0.0004

Data Index: 783751 (C4 (Web Text))

Max Activating Token Index: 390

Text #3

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Max Act: 0.0293. Min Act: -0.0004

Data Index: 1129059 (C4 (Web Text))

Max Activating Token Index: 574

Text #4

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Max Act: 0.0291. Min Act: -0.0004

Data Index: 831366 (C4 (Web Text))

Max Activating Token Index: 575

Text #5

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Max Act: 0.0312. Min Act: -0.0004

Data Index: 877022 (C4 (Web Text))

Max Activating Token Index: 179

Text #6

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Data Index: 1321894 (C4 (Web Text))

Max Activating Token Index: 40

Text #7

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Data Index: 440400 (C4 (Web Text))

Max Activating Token Index: 520

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Max Activating Token Index: 23

Text #9

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Max Activating Token Index: 49

Text #10

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Max Activating Token Index: 436

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Max Activating Token Index: 572

Text #12

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Max Activating Token Index: 86

Text #13

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Max Activating Token Index: 694

Text #14

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Data Index: 979998 (C4 (Web Text))

Max Activating Token Index: 624

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 713

Text #18

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Data Index: 588158 (C4 (Web Text))

Max Activating Token Index: 520

Text #19

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Data Index: 310312 (C4 (Web Text))

Max Activating Token Index: 446