Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1367 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0048. Min Range: -0.0048

Max Act: 0.0048. Min Act: -0.0002

Data Index: 1516568 (Python Code)

Max Activating Token Index: 354

Text #1

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Max Act: 0.0041. Min Act: -0.0002

Data Index: 1414198 (Python Code)

Max Activating Token Index: 692

Text #2

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Max Act: 0.0040. Min Act: -0.0002

Data Index: 1479666 (Python Code)

Max Activating Token Index: 248

Text #3

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Max Act: 0.0039. Min Act: -0.0002

Data Index: 1656525 (Python Code)

Max Activating Token Index: 526

Text #4

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Max Act: 0.0039. Min Act: -0.0002

Data Index: 1573837 (Python Code)

Max Activating Token Index: 211

Text #5

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Max Act: 0.0038. Min Act: -0.0002

Data Index: 1428995 (Python Code)

Max Activating Token Index: 20

Text #6

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Max Act: 0.0037. Min Act: -0.0002

Data Index: 1574922 (Python Code)

Max Activating Token Index: 507

Text #7

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Max Act: 0.0035. Min Act: -0.0002

Data Index: 1385666 (Python Code)

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Text #8

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Data Index: 1457210 (Python Code)

Max Activating Token Index: 20

Text #9

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Data Index: 1548726 (Python Code)

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Text #10

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Data Index: 1410101 (Python Code)

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Text #11

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Data Index: 1606735 (Python Code)

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Text #12

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Data Index: 1364702 (Python Code)

Max Activating Token Index: 899

Text #13

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Data Index: 1388737 (Python Code)

Max Activating Token Index: 261

Text #14

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Max Act: 0.0032. Min Act: -0.0002

Data Index: 1552055 (Python Code)

Max Activating Token Index: 410

Text #15

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Data Index: 1642611 (Python Code)

Max Activating Token Index: 534

Text #16

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Data Index: 1466293 (Python Code)

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Text #17

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Data Index: 1617169 (Python Code)

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Text #18

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Data Index: 510335 (C4 (Web Text))

Max Activating Token Index: 563

Text #19

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Max Act: 0.0029. Min Act: -0.0002

Data Index: 1503241 (Python Code)

Max Activating Token Index: 464