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

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

Neuron 653 in Layer 2

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

Text #0

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Max Act: 0.0825. Min Act: -0.0003

Data Index: 409515 (C4 (Web Text))

Max Activating Token Index: 801

Text #1

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Max Act: 0.0794. Min Act: -0.0003

Data Index: 124644 (C4 (Web Text))

Max Activating Token Index: 378

Text #2

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Max Act: 0.0775. Min Act: -0.0003

Data Index: 467337 (C4 (Web Text))

Max Activating Token Index: 997

Text #3

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Max Act: 0.0795. Min Act: -0.0003

Data Index: 1350862 (C4 (Web Text))

Max Activating Token Index: 711

Text #4

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Data Index: 1151755 (C4 (Web Text))

Max Activating Token Index: 526

Text #5

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Max Activating Token Index: 765

Text #6

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Max Activating Token Index: 92

Text #7

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Text #8

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Max Activating Token Index: 785

Text #9

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Max Activating Token Index: 911

Text #10

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Max Activating Token Index: 579

Text #11

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Max Activating Token Index: 783

Text #12

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Max Activating Token Index: 211

Text #13

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Max Activating Token Index: 375

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: 201

Text #18

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Text #19

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Data Index: 114061 (C4 (Web Text))

Max Activating Token Index: 612