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

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

Neuron 500 in Layer 1

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

Text #0

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Max Act: 0.0562. Min Act: -0.0003

Data Index: 1497362 (Python Code)

Max Activating Token Index: 689

Text #1

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Max Act: 0.0547. Min Act: -0.0003

Data Index: 1628456 (Python Code)

Max Activating Token Index: 938

Text #2

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Max Act: 0.0541. Min Act: -0.0003

Data Index: 1530516 (Python Code)

Max Activating Token Index: 686

Text #3

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Max Act: 0.0505. Min Act: -0.0003

Data Index: 1547136 (Python Code)

Max Activating Token Index: 356

Text #4

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Max Act: 0.0482. Min Act: -0.0003

Data Index: 1519263 (Python Code)

Max Activating Token Index: 273

Text #5

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Data Index: 1449364 (Python Code)

Max Activating Token Index: 222

Text #6

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Data Index: 1461143 (Python Code)

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Text #7

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Data Index: 1488173 (Python Code)

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Text #8

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Data Index: 1452444 (Python Code)

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Data Index: 1487375 (Python Code)

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Text #10

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Data Index: 1569321 (Python Code)

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Data Index: 1485998 (Python Code)

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Text #12

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Data Index: 1552881 (Python Code)

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Text #13

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Data Index: 1645921 (Python Code)

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Text #14

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Data Index: 1524850 (Python Code)

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Text #15

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Data Index: 1544424 (Python Code)

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Text #16

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Data Index: 1510493 (Python Code)

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Text #17

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Data Index: 1438277 (Python Code)

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Text #18

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Data Index: 1439495 (Python Code)

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Text #19

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Data Index: 1598081 (Python Code)

Max Activating Token Index: 314