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

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

Neuron 463 in Layer 0

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

Text #0

Max Range: 0.0168. Min Range: -0.0168

Max Act: 0.0168. Min Act: -0.0004

Data Index: 1525210 (Python Code)

Max Activating Token Index: 356

Text #1

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Max Act: 0.0159. Min Act: -0.0004

Data Index: 1566021 (Python Code)

Max Activating Token Index: 635

Text #2

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Max Act: 0.0162. Min Act: -0.0004

Data Index: 1456429 (Python Code)

Max Activating Token Index: 179

Text #3

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Max Act: 0.0156. Min Act: -0.0004

Data Index: 1563911 (Python Code)

Max Activating Token Index: 257

Text #4

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Max Act: 0.0152. Min Act: -0.0004

Data Index: 1428536 (Python Code)

Max Activating Token Index: 572

Text #5

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Max Act: 0.0149. Min Act: -0.0004

Data Index: 1531481 (Python Code)

Max Activating Token Index: 814

Text #6

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Data Index: 54826 (C4 (Web Text))

Max Activating Token Index: 425

Text #7

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Max Act: 0.0147. Min Act: -0.0004

Data Index: 1652937 (Python Code)

Max Activating Token Index: 500

Text #8

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Data Index: 1590812 (Python Code)

Max Activating Token Index: 977

Text #9

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Max Act: 0.0147. Min Act: -0.0004

Data Index: 1242568 (C4 (Web Text))

Max Activating Token Index: 29

Text #10

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Data Index: 1630253 (Python Code)

Max Activating Token Index: 379

Text #11

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Data Index: 1506311 (Python Code)

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Text #12

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Max Act: 0.0142. Min Act: -0.0004

Data Index: 1388245 (Python Code)

Max Activating Token Index: 641

Text #13

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Max Act: 0.0142. Min Act: -0.0004

Data Index: 1626723 (Python Code)

Max Activating Token Index: 274

Text #14

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Data Index: 1449627 (Python Code)

Max Activating Token Index: 241

Text #15

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Data Index: 1517788 (Python Code)

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Text #16

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Data Index: 1599400 (Python Code)

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Text #17

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Data Index: 1560759 (Python Code)

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Text #18

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Data Index: 1528807 (Python Code)

Max Activating Token Index: 535

Text #19

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Max Act: 0.0140. Min Act: -0.0004

Data Index: 1612195 (Python Code)

Max Activating Token Index: 161