Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1642 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0089. Min Range: -0.0089

Max Act: 0.0089. Min Act: -0.0004

Data Index: 1562798 (Python Code)

Max Activating Token Index: 372

Text #1

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Max Act: 0.0076. Min Act: -0.0004

Data Index: 1468976 (Python Code)

Max Activating Token Index: 361

Text #2

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Max Act: 0.0074. Min Act: -0.0004

Data Index: 1414031 (Python Code)

Max Activating Token Index: 853

Text #3

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Max Act: 0.0074. Min Act: -0.0004

Data Index: 1479019 (Python Code)

Max Activating Token Index: 361

Text #4

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Max Act: 0.0072. Min Act: -0.0003

Data Index: 1577351 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0070. Min Act: -0.0003

Data Index: 1574441 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1334619 (C4 (Web Text))

Max Activating Token Index: 415

Text #7

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Data Index: 1622014 (Python Code)

Max Activating Token Index: 153

Text #8

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Data Index: 1309955 (C4 (Web Text))

Max Activating Token Index: 1020

Text #9

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Data Index: 1501477 (Python Code)

Max Activating Token Index: 409

Text #10

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Data Index: 1625717 (Python Code)

Max Activating Token Index: 1010

Text #11

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Data Index: 1502210 (Python Code)

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Text #12

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Data Index: 1493155 (Python Code)

Max Activating Token Index: 553

Text #13

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Data Index: 1394876 (Python Code)

Max Activating Token Index: 1011

Text #14

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Data Index: 1631910 (Python Code)

Max Activating Token Index: 1020

Text #15

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Data Index: 1389763 (Python Code)

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Text #16

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Data Index: 650573 (C4 (Web Text))

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Text #17

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Data Index: 1625279 (Python Code)

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Text #18

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Data Index: 1443220 (Python Code)

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Text #19

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Max Act: 0.0061. Min Act: -0.0004

Data Index: 1484614 (Python Code)

Max Activating Token Index: 1023