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

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

Neuron 639 in Layer 0

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



Text #0

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Max Act: 0.0191. Min Act: -0.0004

Data Index: 1365139 (Python Code)

Max Activating Token Index: 527

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Text #1

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Max Act: 0.0190. Min Act: -0.0004

Data Index: 1508161 (Python Code)

Max Activating Token Index: 549

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Text #2

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Max Act: 0.0179. Min Act: -0.0004

Data Index: 1423456 (Python Code)

Max Activating Token Index: 239

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Text #3

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Max Act: 0.0179. Min Act: -0.0004

Data Index: 1420559 (Python Code)

Max Activating Token Index: 466

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Text #4

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Data Index: 1566019 (Python Code)

Max Activating Token Index: 943

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Text #5

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Data Index: 1641779 (Python Code)

Max Activating Token Index: 274

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Text #6

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Data Index: 1459354 (Python Code)

Max Activating Token Index: 456

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Text #7

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Data Index: 1570119 (Python Code)

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Text #8

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Data Index: 1475706 (Python Code)

Max Activating Token Index: 472

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Text #9

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Data Index: 1533978 (Python Code)

Max Activating Token Index: 827

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Text #10

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Data Index: 1413939 (Python Code)

Max Activating Token Index: 487

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Text #11

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Data Index: 1511850 (Python Code)

Max Activating Token Index: 503

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Text #12

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Data Index: 1146202 (C4 (Web Text))

Max Activating Token Index: 810

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Text #13

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Data Index: 1395718 (Python Code)

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Text #14

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Data Index: 1615479 (Python Code)

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Text #15

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Text #16

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Data Index: 1453344 (Python Code)

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Text #17

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Data Index: 1595208 (Python Code)

Max Activating Token Index: 331

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Text #18

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Data Index: 1466747 (Python Code)

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Text #19

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Max Act: 0.0158. Min Act: -0.0004

Data Index: 713795 (C4 (Web Text))

Max Activating Token Index: 869

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