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

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

Neuron 1082 in Layer 0

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

Text #0

Max Range: 0.0168. Min Range: -0.0168

Max Act: 0.0168. Min Act: -0.0005

Data Index: 1379798 (Python Code)

Max Activating Token Index: 817

Text #1

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Max Act: 0.0165. Min Act: -0.0005

Data Index: 1381281 (Python Code)

Max Activating Token Index: 558

Text #2

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Max Act: 0.0150. Min Act: -0.0005

Data Index: 1457258 (Python Code)

Max Activating Token Index: 604

Text #3

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Max Act: 0.0146. Min Act: -0.0005

Data Index: 1422216 (Python Code)

Max Activating Token Index: 689

Text #4

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Max Act: 0.0141. Min Act: -0.0005

Data Index: 1534384 (Python Code)

Max Activating Token Index: 454

Text #5

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Max Act: 0.0144. Min Act: -0.0005

Data Index: 1530426 (Python Code)

Max Activating Token Index: 194

Text #6

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1531157 (Python Code)

Max Activating Token Index: 190

Text #7

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Data Index: 1450282 (Python Code)

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Text #8

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Data Index: 1524927 (Python Code)

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Text #9

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Data Index: 1361102 (Python Code)

Max Activating Token Index: 844

Text #10

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Data Index: 1458618 (Python Code)

Max Activating Token Index: 942

Text #11

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Data Index: 1529035 (Python Code)

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Text #12

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Data Index: 1578527 (Python Code)

Max Activating Token Index: 703

Text #13

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Data Index: 1519611 (Python Code)

Max Activating Token Index: 133

Text #14

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Data Index: 1645191 (Python Code)

Max Activating Token Index: 926

Text #15

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Data Index: 1602498 (Python Code)

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Text #16

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Data Index: 1524147 (Python Code)

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Text #17

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Data Index: 1573937 (Python Code)

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Text #18

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Data Index: 1459021 (Python Code)

Max Activating Token Index: 508

Text #19

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Max Act: 0.0133. Min Act: -0.0005

Data Index: 1552858 (Python Code)

Max Activating Token Index: 814