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

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

Neuron 341 in Layer 0

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

Text #0

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Max Act: 0.0043. Min Act: -0.0005

Data Index: 1212205 (C4 (Web Text))

Max Activating Token Index: 967

Text #1

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Data Index: 34446 (C4 (Web Text))

Max Activating Token Index: 390

Text #2

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Max Act: 0.0037. Min Act: -0.0005

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Max Activating Token Index: 711

Text #3

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Max Act: 0.0036. Min Act: -0.0005

Data Index: 1430687 (Python Code)

Max Activating Token Index: 591

Text #4

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Max Act: 0.0036. Min Act: -0.0005

Data Index: 1366968 (Python Code)

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Text #5

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Data Index: 1389762 (Python Code)

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Text #6

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Data Index: 381202 (C4 (Web Text))

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Text #7

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Data Index: 1545139 (Python Code)

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Text #8

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Data Index: 1377581 (Python Code)

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Text #9

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Text #10

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Data Index: 1580426 (Python Code)

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Text #11

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Text #12

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Text #13

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Data Index: 1514748 (Python Code)

Max Activating Token Index: 764

Text #14

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Data Index: 1379911 (Python Code)

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Text #15

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Text #16

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Data Index: 1583712 (Python Code)

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Text #17

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Data Index: 1418943 (Python Code)

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Text #18

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Data Index: 1414678 (Python Code)

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Text #19

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Data Index: 1457450 (Python Code)

Max Activating Token Index: 764