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

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

Neuron 888 in Layer 1

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

Text #0

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Max Act: 0.1297. Min Act: -0.0003

Data Index: 468855 (C4 (Web Text))

Max Activating Token Index: 821

Text #1

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Max Activating Token Index: 93

Text #2

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Max Activating Token Index: 954

Text #3

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Max Act: 0.0923. Min Act: -0.0003

Data Index: 61402 (C4 (Web Text))

Max Activating Token Index: 896

Text #4

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Data Index: 900290 (C4 (Web Text))

Max Activating Token Index: 313

Text #5

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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: 38

Text #12

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Text #13

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Max Activating Token Index: 72

Text #14

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Data Index: 1437725 (Python Code)

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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: 977306 (C4 (Web Text))

Max Activating Token Index: 34