Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 755 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0237. Min Act: -0.0004

Data Index: 601958 (C4 (Web Text))

Max Activating Token Index: 328

Text #1

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Max Activating Token Index: 888

Text #2

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Data Index: 872926 (C4 (Web Text))

Max Activating Token Index: 511

Text #3

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Data Index: 216024 (C4 (Web Text))

Max Activating Token Index: 147

Text #4

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Data Index: 686720 (C4 (Web Text))

Max Activating Token Index: 722

Text #5

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Data Index: 445887 (C4 (Web Text))

Max Activating Token Index: 127

Text #6

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Max Activating Token Index: 126

Text #7

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Max Activating Token Index: 615

Text #8

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Max Activating Token Index: 383

Text #9

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Max Activating Token Index: 430

Text #10

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Max Activating Token Index: 177

Text #11

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Max Activating Token Index: 260

Text #12

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Max Activating Token Index: 486

Text #13

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Max Activating Token Index: 55

Text #14

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Max Activating Token Index: 403

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 972

Text #18

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Max Activating Token Index: 167

Text #19

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Data Index: 1226664 (C4 (Web Text))

Max Activating Token Index: 15