Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 132 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0405. Min Act: -0.0003

Data Index: 944679 (C4 (Web Text))

Max Activating Token Index: 40

Text #1

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Max Activating Token Index: 1023

Text #2

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Max Activating Token Index: 1023

Text #3

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Data Index: 712165 (C4 (Web Text))

Max Activating Token Index: 248

Text #4

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Max Activating Token Index: 458

Text #5

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Max Activating Token Index: 754

Text #6

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Text #8

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Max Activating Token Index: 428

Text #9

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Text #10

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Text #11

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Max Activating Token Index: 296

Text #12

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Max Activating Token Index: 25

Text #13

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Max Activating Token Index: 840

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 392

Text #19

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Data Index: 20555 (C4 (Web Text))

Max Activating Token Index: 72