Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1405 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0377. Min Act: -0.0003

Data Index: 1105211 (C4 (Web Text))

Max Activating Token Index: 723

Text #1

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Max Activating Token Index: 745

Text #2

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Max Activating Token Index: 94

Text #3

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Max Act: 0.0365. Min Act: -0.0003

Data Index: 1011103 (C4 (Web Text))

Max Activating Token Index: 638

Text #4

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Max Activating Token Index: 609

Text #5

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Max Activating Token Index: 154

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 308

Text #12

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Max Activating Token Index: 660

Text #13

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Max Activating Token Index: 88

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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Text #19

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Data Index: 985238 (C4 (Web Text))

Max Activating Token Index: 310