Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 357 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0471. Min Act: -0.0004

Data Index: 128506 (C4 (Web Text))

Max Activating Token Index: 199

Text #1

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Data Index: 1142222 (C4 (Web Text))

Max Activating Token Index: 138

Text #2

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Data Index: 1046761 (C4 (Web Text))

Max Activating Token Index: 891

Text #3

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Max Act: 0.0412. Min Act: -0.0004

Data Index: 1055059 (C4 (Web Text))

Max Activating Token Index: 192

Text #4

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Data Index: 851220 (C4 (Web Text))

Max Activating Token Index: 960

Text #5

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Data Index: 494390 (C4 (Web Text))

Max Activating Token Index: 304

Text #6

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Max Activating Token Index: 488

Text #7

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Max Activating Token Index: 253

Text #8

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Max Activating Token Index: 166

Text #9

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Text #10

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Max Activating Token Index: 210

Text #12

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Text #13

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Max Activating Token Index: 495

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 951

Text #18

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Max Activating Token Index: 186

Text #19

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Data Index: 259986 (C4 (Web Text))

Max Activating Token Index: 762