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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 2165 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.7300. Min Act: -0.0000

Data Index: 1350188 (C4 (Web Text))

Max Activating Token Index: 562

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Text #1

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Max Act: 0.7048. Min Act: -0.0000

Data Index: 838348 (C4 (Web Text))

Max Activating Token Index: 316

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Truncated

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Text #2

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Max Act: 0.6705. Min Act: -0.0000

Data Index: 449626 (C4 (Web Text))

Max Activating Token Index: 271

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Text #3

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Data Index: 1194331 (C4 (Web Text))

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Text #4

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Data Index: 1303298 (C4 (Web Text))

Max Activating Token Index: 783

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Text #5

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Text #6

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Text #7

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Truncated

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Text #8

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Data Index: 1045636 (C4 (Web Text))

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Text #9

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Data Index: 1068534 (C4 (Web Text))

Max Activating Token Index: 330

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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: 1648503 (Python Code)

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Text #18

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Data Index: 739108 (C4 (Web Text))

Max Activating Token Index: 244

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Truncated

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Text #19

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Data Index: 1016762 (C4 (Web Text))

Max Activating Token Index: 17

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