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

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

Neuron 1700 in Layer 1

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

Text #0

Max Range: 0.0126. Min Range: -0.0126

Max Act: 0.0126. Min Act: -0.0006

Data Index: 1554665 (Python Code)

Max Activating Token Index: 615

Text #1

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Max Act: 0.0122. Min Act: -0.0006

Data Index: 1437989 (Python Code)

Max Activating Token Index: 576

Text #2

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Max Act: 0.0107. Min Act: -0.0006

Data Index: 1485754 (Python Code)

Max Activating Token Index: 174

Text #3

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Max Act: 0.0103. Min Act: -0.0006

Data Index: 1601619 (Python Code)

Max Activating Token Index: 260

Text #4

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Max Act: 0.0101. Min Act: -0.0006

Data Index: 1622433 (Python Code)

Max Activating Token Index: 740

Text #5

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Max Act: 0.0107. Min Act: -0.0006

Data Index: 1594971 (Python Code)

Max Activating Token Index: 585

Text #6

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Max Act: 0.0101. Min Act: -0.0006

Data Index: 1612402 (Python Code)

Max Activating Token Index: 229

Text #7

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Data Index: 1447076 (Python Code)

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Text #8

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Data Index: 1635933 (Python Code)

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Text #9

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Max Act: 0.0103. Min Act: -0.0006

Data Index: 1595532 (Python Code)

Max Activating Token Index: 184

Text #10

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Data Index: 1479474 (Python Code)

Max Activating Token Index: 446

Text #11

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Max Act: 0.0101. Min Act: -0.0006

Data Index: 1240507 (C4 (Web Text))

Max Activating Token Index: 765

Text #12

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Data Index: 1368943 (Python Code)

Max Activating Token Index: 380

Text #13

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Data Index: 1365692 (Python Code)

Max Activating Token Index: 152

Text #14

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Max Act: 0.0090. Min Act: -0.0006

Data Index: 1596878 (Python Code)

Max Activating Token Index: 186

Text #15

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Max Act: 0.0090. Min Act: -0.0006

Data Index: 1655088 (Python Code)

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Text #16

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Data Index: 1366020 (Python Code)

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Text #17

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Data Index: 1540646 (Python Code)

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Text #18

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Data Index: 1384644 (Python Code)

Max Activating Token Index: 204

Text #19

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Max Act: 0.0092. Min Act: -0.0006

Data Index: 1549456 (Python Code)

Max Activating Token Index: 231