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

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

Neuron 23 in Layer 0

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



Text #0

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Max Act: 0.0081. Min Act: -0.0005

Data Index: 1432327 (Python Code)

Max Activating Token Index: 669

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Text #1

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Max Act: 0.0081. Min Act: -0.0005

Data Index: 1641288 (Python Code)

Max Activating Token Index: 760

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Text #2

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Max Act: 0.0079. Min Act: -0.0005

Data Index: 891402 (C4 (Web Text))

Max Activating Token Index: 143

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Text #3

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Max Act: 0.0078. Min Act: -0.0005

Data Index: 1482384 (Python Code)

Max Activating Token Index: 404

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Text #4

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Data Index: 1572715 (Python Code)

Max Activating Token Index: 379

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Text #5

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Data Index: 1551877 (Python Code)

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Text #6

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Data Index: 1455465 (Python Code)

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Text #7

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Data Index: 1411590 (Python Code)

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Text #8

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Data Index: 1090056 (C4 (Web Text))

Max Activating Token Index: 213

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Text #9

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Data Index: 1566320 (Python Code)

Max Activating Token Index: 832

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Text #10

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Data Index: 1547677 (Python Code)

Max Activating Token Index: 983

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Text #11

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Data Index: 196341 (C4 (Web Text))

Max Activating Token Index: 763

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Text #12

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Data Index: 1517605 (Python Code)

Max Activating Token Index: 254

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Text #13

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Data Index: 1464363 (Python Code)

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Text #14

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Data Index: 781754 (C4 (Web Text))

Max Activating Token Index: 829

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Text #15

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Data Index: 1523234 (Python Code)

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Text #16

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Data Index: 1381983 (Python Code)

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Text #17

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Data Index: 1201691 (C4 (Web Text))

Max Activating Token Index: 87

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Text #18

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Data Index: 1522802 (Python Code)

Max Activating Token Index: 765

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Text #19

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Max Act: 0.0071. Min Act: -0.0005

Data Index: 1405638 (Python Code)

Max Activating Token Index: 420

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