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

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

Neuron 692 in Layer 1

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

Text #0

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Max Act: 0.0283. Min Act: -0.0003

Data Index: 1575627 (Python Code)

Max Activating Token Index: 270

Text #1

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Data Index: 1532774 (Python Code)

Max Activating Token Index: 548

Text #2

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Max Act: 0.0285. Min Act: -0.0003

Data Index: 1453120 (Python Code)

Max Activating Token Index: 204

Text #3

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Max Act: 0.0268. Min Act: -0.0003

Data Index: 1519875 (Python Code)

Max Activating Token Index: 304

Text #4

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Max Act: 0.0284. Min Act: -0.0003

Data Index: 1602378 (Python Code)

Max Activating Token Index: 923

Text #5

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Data Index: 1516404 (Python Code)

Max Activating Token Index: 304

Text #6

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Data Index: 1380200 (Python Code)

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Text #7

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Data Index: 1617984 (Python Code)

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Text #8

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Data Index: 1641409 (Python Code)

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Text #9

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Data Index: 1556696 (Python Code)

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Text #10

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Data Index: 1404383 (Python Code)

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Text #11

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Text #12

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Data Index: 1452901 (Python Code)

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Text #13

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Data Index: 1554334 (Python Code)

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Text #14

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Data Index: 1531457 (Python Code)

Max Activating Token Index: 428

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: 931

Text #19

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Data Index: 1304863 (C4 (Web Text))

Max Activating Token Index: 500