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

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

Neuron 169 in Layer 0

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

Text #0

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Max Act: 0.0161. Min Act: -0.0004

Data Index: 1439651 (Python Code)

Max Activating Token Index: 443

Text #1

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Max Act: 0.0156. Min Act: -0.0005

Data Index: 1493785 (Python Code)

Max Activating Token Index: 392

Text #2

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Data Index: 1489867 (Python Code)

Max Activating Token Index: 255

Text #3

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Max Act: 0.0148. Min Act: -0.0005

Data Index: 1576905 (Python Code)

Max Activating Token Index: 787

Text #4

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Max Act: 0.0146. Min Act: -0.0005

Data Index: 1541396 (Python Code)

Max Activating Token Index: 26

Text #5

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Data Index: 1365667 (Python Code)

Max Activating Token Index: 214

Text #6

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Data Index: 213384 (C4 (Web Text))

Max Activating Token Index: 662

Text #7

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Data Index: 1242906 (C4 (Web Text))

Max Activating Token Index: 929

Text #8

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Max Activating Token Index: 752

Text #9

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Data Index: 1648104 (Python Code)

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Text #10

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Data Index: 1370959 (Python Code)

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Text #11

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Max Activating Token Index: 826

Text #12

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Data Index: 1648905 (Python Code)

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Text #13

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Max Activating Token Index: 891

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: 1538281 (Python Code)

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Text #18

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Text #19

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Data Index: 1646000 (Python Code)

Max Activating Token Index: 892