Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2486 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0455. Min Act: -0.0003

Data Index: 883027 (C4 (Web Text))

Max Activating Token Index: 455

Text #1

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Data Index: 575622 (C4 (Web Text))

Max Activating Token Index: 957

Text #2

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Max Act: 0.0445. Min Act: -0.0003

Data Index: 436231 (C4 (Web Text))

Max Activating Token Index: 334

Text #3

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Data Index: 395970 (C4 (Web Text))

Max Activating Token Index: 29

Text #4

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Data Index: 750547 (C4 (Web Text))

Max Activating Token Index: 31

Text #5

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Max Activating Token Index: 290

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 29

Text #9

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Data Index: 34510 (C4 (Web Text))

Max Activating Token Index: 957

Text #10

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Max Activating Token Index: 16

Text #11

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Max Activating Token Index: 954

Text #12

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Max Activating Token Index: 510

Text #13

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Max Activating Token Index: 483

Text #14

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Max Activating Token Index: 205

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 368

Text #18

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Max Activating Token Index: 345

Text #19

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Data Index: 689065 (C4 (Web Text))

Max Activating Token Index: 564