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

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

Neuron 868 in Layer 1

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

Text #0

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Max Act: 0.0165. Min Act: -0.0006

Data Index: 1214637 (C4 (Web Text))

Max Activating Token Index: 772

Text #1

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Max Act: 0.0157. Min Act: -0.0005

Data Index: 1423024 (Python Code)

Max Activating Token Index: 68

Text #2

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Max Act: 0.0164. Min Act: -0.0006

Data Index: 1540903 (Python Code)

Max Activating Token Index: 221

Text #3

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Max Act: 0.0156. Min Act: -0.0006

Data Index: 1546218 (Python Code)

Max Activating Token Index: 15

Text #4

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Max Act: 0.0154. Min Act: -0.0006

Data Index: 1469960 (Python Code)

Max Activating Token Index: 40

Text #5

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Data Index: 1483238 (Python Code)

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Text #6

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Data Index: 1400396 (Python Code)

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Text #7

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Data Index: 1549376 (Python Code)

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Text #8

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Data Index: 1576488 (Python Code)

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Text #9

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Data Index: 1601096 (Python Code)

Max Activating Token Index: 783

Text #10

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Data Index: 1541534 (Python Code)

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Text #11

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Data Index: 1395617 (Python Code)

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Text #12

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Data Index: 1457475 (Python Code)

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Text #13

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Data Index: 1052801 (C4 (Web Text))

Max Activating Token Index: 638

Text #14

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Data Index: 1588864 (Python Code)

Max Activating Token Index: 663

Text #15

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Data Index: 1441632 (Python Code)

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Text #16

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Data Index: 1382255 (Python Code)

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Text #17

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Data Index: 1580714 (Python Code)

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Text #18

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Data Index: 1486092 (Python Code)

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Text #19

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Data Index: 938172 (C4 (Web Text))

Max Activating Token Index: 512