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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3069 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0160. Min Act: -0.0003

Data Index: 1577981 (Python Code)

Max Activating Token Index: 213

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Text #1

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 1639029 (Python Code)

Max Activating Token Index: 281

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Text #2

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Max Act: 0.0148. Min Act: -0.0003

Data Index: 1365249 (Python Code)

Max Activating Token Index: 220

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Text #3

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Max Act: 0.0146. Min Act: -0.0003

Data Index: 1388417 (Python Code)

Max Activating Token Index: 572

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Text #4

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Data Index: 1448004 (Python Code)

Max Activating Token Index: 272

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Data Index: 1619266 (Python Code)

Max Activating Token Index: 476

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Data Index: 1532366 (Python Code)

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Text #7

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Data Index: 1564504 (Python Code)

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Text #8

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Data Index: 1501989 (Python Code)

Max Activating Token Index: 817

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Text #9

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Data Index: 1400906 (Python Code)

Max Activating Token Index: 529

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Text #10

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Data Index: 1612511 (Python Code)

Max Activating Token Index: 584

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Text #11

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Data Index: 1517715 (Python Code)

Max Activating Token Index: 496

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Text #12

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Data Index: 1566357 (Python Code)

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Data Index: 1578638 (Python Code)

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Text #14

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Data Index: 1448403 (Python Code)

Max Activating Token Index: 388

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Text #15

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Text #16

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Data Index: 1643770 (Python Code)

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Text #17

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Data Index: 1626676 (Python Code)

Max Activating Token Index: 387

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Text #18

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Data Index: 1488787 (Python Code)

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Text #19

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Data Index: 1531487 (Python Code)

Max Activating Token Index: 365

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