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

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

Neuron 82 in Layer 0

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

Text #0

Max Range: 0.0013. Min Range: -0.0013

Max Act: 0.0013. Min Act: -0.0002

Data Index: 1511907 (Python Code)

Max Activating Token Index: 341

Text #1

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Data Index: 1417225 (Python Code)

Max Activating Token Index: 770

Text #2

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Max Act: 0.0011. Min Act: -0.0002

Data Index: 1406248 (Python Code)

Max Activating Token Index: 842

Text #3

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Max Act: 0.0010. Min Act: -0.0002

Data Index: 1548893 (Python Code)

Max Activating Token Index: 640

Text #4

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Data Index: 1449428 (Python Code)

Max Activating Token Index: 322

Text #5

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Data Index: 1555859 (Python Code)

Max Activating Token Index: 329

Text #6

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Data Index: 1456278 (Python Code)

Max Activating Token Index: 543

Text #7

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Data Index: 1543116 (Python Code)

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Text #8

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Data Index: 1380163 (Python Code)

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Text #9

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Data Index: 1460832 (Python Code)

Max Activating Token Index: 163

Text #10

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Data Index: 1415250 (Python Code)

Max Activating Token Index: 548

Text #11

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Data Index: 1430745 (Python Code)

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Text #12

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Data Index: 1483682 (Python Code)

Max Activating Token Index: 538

Text #13

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Data Index: 1403251 (Python Code)

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Text #14

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Data Index: 1645980 (Python Code)

Max Activating Token Index: 206

Text #15

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Data Index: 1611673 (Python Code)

Max Activating Token Index: 245

Text #16

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Data Index: 1540483 (Python Code)

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Text #17

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Data Index: 1606330 (Python Code)

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Text #18

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Data Index: 1383803 (Python Code)

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Text #19

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Data Index: 1625165 (Python Code)

Max Activating Token Index: 868