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

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

Neuron 859 in Layer 2

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



Text #0

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Max Act: 0.0587. Min Act: -0.0003

Data Index: 888257 (C4 (Web Text))

Max Activating Token Index: 639

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Text #1

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Data Index: 231512 (C4 (Web Text))

Max Activating Token Index: 516

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Truncated

Full Text #1


Text #2

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Max Act: 0.0533. Min Act: -0.0004

Data Index: 853591 (C4 (Web Text))

Max Activating Token Index: 27

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Text #3

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Data Index: 1655733 (Python Code)

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Truncated

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Text #4

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Data Index: 983134 (C4 (Web Text))

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Text #5

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Data Index: 1351351 (C4 (Web Text))

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Text #6

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Data Index: 636646 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Text #9

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Data Index: 630350 (C4 (Web Text))

Max Activating Token Index: 26

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Truncated

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Text #10

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Truncated

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Text #11

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Truncated

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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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Data Index: 568353 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1618815 (Python Code)

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Text #18

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Data Index: 446227 (C4 (Web Text))

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Truncated

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Text #19

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Data Index: 1070320 (C4 (Web Text))

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