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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 419 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

Max Range: 0.0138. Min Range: -0.0138

Max Act: 0.0138. Min Act: -0.0002

Data Index: 1507262 (Python Code)

Max Activating Token Index: 242

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Text #1

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Max Act: 0.0135. Min Act: -0.0002

Data Index: 72492 (C4 (Web Text))

Max Activating Token Index: 771

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Text #2

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Max Act: 0.0132. Min Act: -0.0003

Data Index: 1655641 (Python Code)

Max Activating Token Index: 1023

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Text #3

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Max Act: 0.0128. Min Act: -0.0002

Data Index: 1561837 (Python Code)

Max Activating Token Index: 572

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Text #4

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Max Act: 0.0116. Min Act: -0.0002

Data Index: 1654652 (Python Code)

Max Activating Token Index: 1023

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Text #5

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Max Act: 0.0113. Min Act: -0.0003

Data Index: 1611142 (Python Code)

Max Activating Token Index: 616

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Text #6

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Data Index: 1464427 (Python Code)

Max Activating Token Index: 992

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Text #7

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Data Index: 1584956 (Python Code)

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Text #8

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Data Index: 1655645 (Python Code)

Max Activating Token Index: 489

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Text #9

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Data Index: 1388467 (Python Code)

Max Activating Token Index: 598

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Text #10

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Data Index: 1544064 (Python Code)

Max Activating Token Index: 945

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Text #11

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Data Index: 1612558 (Python Code)

Max Activating Token Index: 451

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Text #12

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Data Index: 1514107 (Python Code)

Max Activating Token Index: 357

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Text #13

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Data Index: 1447742 (Python Code)

Max Activating Token Index: 993

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Text #14

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Data Index: 1469663 (Python Code)

Max Activating Token Index: 1009

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Text #15

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Data Index: 1636077 (Python Code)

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Text #16

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Data Index: 1539789 (Python Code)

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Text #17

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Data Index: 1566155 (Python Code)

Max Activating Token Index: 788

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Text #18

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Data Index: 1548298 (Python Code)

Max Activating Token Index: 1023

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Text #19

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Data Index: 1565696 (Python Code)

Max Activating Token Index: 347

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