Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1961 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0187. Min Act: -0.0005

Data Index: 1371929 (Python Code)

Max Activating Token Index: 627

Text #1

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Max Act: 0.0190. Min Act: -0.0005

Data Index: 1606078 (Python Code)

Max Activating Token Index: 735

Text #2

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Max Act: 0.0190. Min Act: -0.0005

Data Index: 1597384 (Python Code)

Max Activating Token Index: 97

Text #3

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Max Act: 0.0185. Min Act: -0.0005

Data Index: 1587071 (Python Code)

Max Activating Token Index: 535

Text #4

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Max Act: 0.0182. Min Act: -0.0005

Data Index: 1539922 (Python Code)

Max Activating Token Index: 205

Text #5

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Max Act: 0.0185. Min Act: -0.0005

Data Index: 1510487 (Python Code)

Max Activating Token Index: 833

Text #6

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Data Index: 1606056 (Python Code)

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Text #7

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Data Index: 1394420 (Python Code)

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Text #8

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Data Index: 1547718 (Python Code)

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Text #9

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Data Index: 1361020 (Python Code)

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Text #10

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Data Index: 1571229 (Python Code)

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Text #11

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Data Index: 1563424 (Python Code)

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Text #12

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Data Index: 1523324 (Python Code)

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Text #13

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Data Index: 1627670 (Python Code)

Max Activating Token Index: 922

Text #14

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Data Index: 1419769 (Python Code)

Max Activating Token Index: 391

Text #15

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Data Index: 1538952 (Python Code)

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Text #16

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Data Index: 1539907 (Python Code)

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Text #17

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Data Index: 1525004 (Python Code)

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Text #18

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Data Index: 1642519 (Python Code)

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Text #19

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Data Index: 1414382 (Python Code)

Max Activating Token Index: 399