Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 225 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 303417 (C4 (Web Text))

Max Activating Token Index: 124

Text #1

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Max Activating Token Index: 481

Text #2

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Max Activating Token Index: 95

Text #3

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Data Index: 654833 (C4 (Web Text))

Max Activating Token Index: 952

Text #4

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Data Index: 1261972 (C4 (Web Text))

Max Activating Token Index: 650

Text #5

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Max Activating Token Index: 206

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: 332

Text #10

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Max Activating Token Index: 484

Text #11

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Max Activating Token Index: 276

Text #12

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Text #13

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Max Activating Token Index: 93

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: 659

Text #18

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Text #19

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Data Index: 683578 (C4 (Web Text))

Max Activating Token Index: 960