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

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

Neuron 4141 in Layer 2

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

Text #0

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Max Act: 0.0043. Min Act: -0.0002

Data Index: 1414872 (Python Code)

Max Activating Token Index: 279

Text #1

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Max Act: 0.0047. Min Act: -0.0002

Data Index: 108449 (C4 (Web Text))

Max Activating Token Index: 72

Text #2

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Max Act: 0.0046. Min Act: -0.0002

Data Index: 363963 (C4 (Web Text))

Max Activating Token Index: 762

Text #3

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Max Act: 0.0043. Min Act: -0.0002

Data Index: 147739 (C4 (Web Text))

Max Activating Token Index: 1013

Text #4

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Max Act: 0.0042. Min Act: -0.0002

Data Index: 627884 (C4 (Web Text))

Max Activating Token Index: 971

Text #5

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Max Act: 0.0041. Min Act: -0.0002

Data Index: 417002 (C4 (Web Text))

Max Activating Token Index: 472

Text #6

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Data Index: 1477765 (Python Code)

Max Activating Token Index: 305

Text #7

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Data Index: 701994 (C4 (Web Text))

Max Activating Token Index: 984

Text #8

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Data Index: 1649354 (Python Code)

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Text #9

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Data Index: 1492569 (Python Code)

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Text #10

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Max Activating Token Index: 316

Text #11

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Max Activating Token Index: 615

Text #12

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Max Activating Token Index: 159

Text #13

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Data Index: 749207 (C4 (Web Text))

Max Activating Token Index: 321

Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 383704 (C4 (Web Text))

Max Activating Token Index: 988

Text #18

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Data Index: 287749 (C4 (Web Text))

Max Activating Token Index: 187

Text #19

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Max Act: 0.0037. Min Act: -0.0002

Data Index: 1011204 (C4 (Web Text))

Max Activating Token Index: 221