Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1574 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0002. Min Act: -0.0002

Data Index: 1401821 (Python Code)

Max Activating Token Index: 138

Text #1

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Data Index: 667927 (C4 (Web Text))

Max Activating Token Index: 175

Text #2

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Data Index: 755436 (C4 (Web Text))

Max Activating Token Index: 181

Text #3

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Data Index: 108791 (C4 (Web Text))

Max Activating Token Index: 138

Text #4

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Data Index: 905053 (C4 (Web Text))

Max Activating Token Index: 157

Text #5

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Data Index: 62155 (C4 (Web Text))

Max Activating Token Index: 121

Text #6

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Data Index: 435054 (C4 (Web Text))

Max Activating Token Index: 110

Text #7

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Max Activating Token Index: 131

Text #8

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Data Index: 356259 (C4 (Web Text))

Max Activating Token Index: 218

Text #9

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Data Index: 355400 (C4 (Web Text))

Max Activating Token Index: 116

Text #10

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Max Activating Token Index: 110

Text #11

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Max Activating Token Index: 154

Text #12

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Data Index: 656527 (C4 (Web Text))

Max Activating Token Index: 106

Text #13

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Max Activating Token Index: 167

Text #14

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Data Index: 488560 (C4 (Web Text))

Max Activating Token Index: 133

Text #15

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Max Activating Token Index: 110

Text #16

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Data Index: 14106 (C4 (Web Text))

Max Activating Token Index: 155

Text #17

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Max Activating Token Index: 116

Text #18

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Data Index: 75409 (C4 (Web Text))

Max Activating Token Index: 207

Text #19

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Max Act: 0.0002. Min Act: -0.0002

Data Index: 1330440 (C4 (Web Text))

Max Activating Token Index: 81