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

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

Neuron 1614 in Layer 1

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

Text #0

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Max Act: 0.0124. Min Act: -0.0006

Data Index: 1439102 (Python Code)

Max Activating Token Index: 1017

Text #1

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Max Act: 0.0130. Min Act: -0.0006

Data Index: 1628246 (Python Code)

Max Activating Token Index: 951

Text #2

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Max Act: 0.0121. Min Act: -0.0006

Data Index: 414838 (C4 (Web Text))

Max Activating Token Index: 40

Text #3

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Max Act: 0.0119. Min Act: -0.0006

Data Index: 1386092 (Python Code)

Max Activating Token Index: 5

Text #4

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Max Act: 0.0121. Min Act: -0.0006

Data Index: 1530263 (Python Code)

Max Activating Token Index: 891

Text #5

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Max Act: 0.0114. Min Act: -0.0006

Data Index: 350015 (C4 (Web Text))

Max Activating Token Index: 23

Text #6

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Data Index: 1651770 (Python Code)

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Text #7

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Data Index: 1470515 (Python Code)

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Text #8

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Data Index: 1599610 (Python Code)

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Text #9

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Data Index: 1393840 (Python Code)

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Text #10

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Data Index: 25898 (C4 (Web Text))

Max Activating Token Index: 317

Text #11

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Data Index: 1560512 (Python Code)

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Text #12

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Data Index: 824856 (C4 (Web Text))

Max Activating Token Index: 42

Text #13

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Data Index: 1465210 (Python Code)

Max Activating Token Index: 312

Text #14

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Data Index: 1615827 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1627533 (Python Code)

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Text #18

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Data Index: 1301187 (C4 (Web Text))

Max Activating Token Index: 739

Text #19

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 1563597 (Python Code)

Max Activating Token Index: 12