Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 260 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0239. Min Act: -0.0005

Data Index: 1595813 (Python Code)

Max Activating Token Index: 23

Text #1

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Max Act: 0.0224. Min Act: -0.0005

Data Index: 1502906 (Python Code)

Max Activating Token Index: 78

Text #2

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Max Act: 0.0224. Min Act: -0.0005

Data Index: 1632575 (Python Code)

Max Activating Token Index: 118

Text #3

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Max Act: 0.0219. Min Act: -0.0005

Data Index: 1611545 (Python Code)

Max Activating Token Index: 220

Text #4

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Data Index: 1646838 (Python Code)

Max Activating Token Index: 904

Text #5

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Data Index: 1652331 (Python Code)

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Text #6

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Data Index: 1408737 (Python Code)

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Text #7

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Data Index: 1403914 (Python Code)

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Text #8

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Data Index: 1420124 (Python Code)

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Text #9

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Data Index: 1444088 (Python Code)

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Text #10

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Data Index: 1605858 (Python Code)

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Text #11

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Data Index: 1477111 (Python Code)

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Text #12

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Data Index: 1633767 (Python Code)

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Text #13

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Data Index: 1439993 (Python Code)

Max Activating Token Index: 1003

Text #14

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Data Index: 1523339 (Python Code)

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Text #15

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Data Index: 1415295 (Python Code)

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Text #16

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Data Index: 1620482 (Python Code)

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Text #17

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Data Index: 1622449 (Python Code)

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Text #18

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Data Index: 1517780 (Python Code)

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Text #19

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Data Index: 1382350 (Python Code)

Max Activating Token Index: 296