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

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

Neuron 482 in Layer 0

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

Text #0

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Max Act: 0.0305. Min Act: -0.0006

Data Index: 504033 (C4 (Web Text))

Max Activating Token Index: 575

Text #1

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Max Activating Token Index: 274

Text #2

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Max Activating Token Index: 799

Text #3

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Data Index: 139042 (C4 (Web Text))

Max Activating Token Index: 783

Text #4

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Data Index: 115429 (C4 (Web Text))

Max Activating Token Index: 183

Text #5

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Max Activating Token Index: 211

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 193

Text #10

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Text #11

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Max Activating Token Index: 839

Text #12

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Max Activating Token Index: 285

Text #13

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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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Max Activating Token Index: 432

Text #18

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Text #19

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Data Index: 551998 (C4 (Web Text))

Max Activating Token Index: 652