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

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

Neuron 248 in Layer 0

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

Text #0

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Max Act: 0.0140. Min Act: -0.0004

Data Index: 1336504 (C4 (Web Text))

Max Activating Token Index: 467

Text #1

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Max Act: 0.0137. Min Act: -0.0004

Data Index: 447046 (C4 (Web Text))

Max Activating Token Index: 586

Text #2

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Max Act: 0.0132. Min Act: -0.0004

Data Index: 302312 (C4 (Web Text))

Max Activating Token Index: 144

Text #3

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Data Index: 991812 (C4 (Web Text))

Max Activating Token Index: 711

Text #4

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Data Index: 388504 (C4 (Web Text))

Max Activating Token Index: 443

Text #5

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Max Activating Token Index: 275

Text #6

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Max Activating Token Index: 545

Text #7

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Max Activating Token Index: 822

Text #8

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Text #9

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Data Index: 615891 (C4 (Web Text))

Max Activating Token Index: 310

Text #10

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Max Activating Token Index: 549

Text #11

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Max Activating Token Index: 443

Text #12

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Max Activating Token Index: 439

Text #13

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Data Index: 15224 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 850

Text #19

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Data Index: 954153 (C4 (Web Text))

Max Activating Token Index: 703