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

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

Neuron 102 in Layer 3

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



Text #0

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Max Act: 0.0852. Min Act: -0.0001

Data Index: 389718 (C4 (Web Text))

Max Activating Token Index: 265

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Text #1

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Max Act: 0.0727. Min Act: -0.0001

Data Index: 1292863 (C4 (Web Text))

Max Activating Token Index: 894

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Text #2

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Max Act: 0.0723. Min Act: -0.0001

Data Index: 598997 (C4 (Web Text))

Max Activating Token Index: 993

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Text #3

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Data Index: 279431 (C4 (Web Text))

Max Activating Token Index: 448

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Text #4

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Data Index: 769955 (C4 (Web Text))

Max Activating Token Index: 548

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Text #5

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Text #6

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Data Index: 884285 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 247717 (C4 (Web Text))

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Text #9

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Data Index: 1592999 (Python Code)

Max Activating Token Index: 876

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1614235 (Python Code)

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Text #18

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Data Index: 1109216 (C4 (Web Text))

Max Activating Token Index: 339

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Text #19

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Data Index: 575863 (C4 (Web Text))

Max Activating Token Index: 225

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