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

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

Neuron 1182 in Layer 0

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

Text #0

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Max Act: 0.0211. Min Act: -0.0006

Data Index: 1599596 (Python Code)

Max Activating Token Index: 90

Text #1

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Max Act: 0.0204. Min Act: -0.0006

Data Index: 1559391 (Python Code)

Max Activating Token Index: 824

Text #2

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Data Index: 1401345 (Python Code)

Max Activating Token Index: 524

Text #3

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Max Act: 0.0194. Min Act: -0.0006

Data Index: 1487279 (Python Code)

Max Activating Token Index: 296

Text #4

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Data Index: 1477028 (Python Code)

Max Activating Token Index: 773

Text #5

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Max Act: 0.0187. Min Act: -0.0006

Data Index: 1157142 (C4 (Web Text))

Max Activating Token Index: 513

Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 1371432 (Python Code)

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Text #10

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Max Activating Token Index: 791

Text #11

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Max Activating Token Index: 669

Text #12

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Max Activating Token Index: 789

Text #13

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Max Activating Token Index: 783

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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Max Activating Token Index: 512

Text #19

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Data Index: 227892 (C4 (Web Text))

Max Activating Token Index: 596