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

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

Neuron 153 in Layer 1

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

Text #0

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Max Act: 0.0833. Min Act: -0.0003

Data Index: 224366 (C4 (Web Text))

Max Activating Token Index: 263

Text #1

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Data Index: 407758 (C4 (Web Text))

Max Activating Token Index: 593

Text #2

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Max Act: 0.0801. Min Act: -0.0003

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Max Activating Token Index: 640

Text #3

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Max Act: 0.0761. Min Act: -0.0003

Data Index: 1029585 (C4 (Web Text))

Max Activating Token Index: 114

Text #4

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Data Index: 946516 (C4 (Web Text))

Max Activating Token Index: 238

Text #5

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Max Activating Token Index: 251

Text #6

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Text #7

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Max Activating Token Index: 454

Text #9

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Text #10

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Text #11

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Text #12

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Text #13

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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: 993

Text #19

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Data Index: 659395 (C4 (Web Text))

Max Activating Token Index: 540