Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 552 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0141. Min Act: -0.0005

Data Index: 1438972 (Python Code)

Max Activating Token Index: 340

Text #1

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Max Act: 0.0137. Min Act: -0.0005

Data Index: 1600319 (Python Code)

Max Activating Token Index: 625

Text #2

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Data Index: 1603928 (Python Code)

Max Activating Token Index: 538

Text #3

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Max Act: 0.0135. Min Act: -0.0005

Data Index: 1363176 (Python Code)

Max Activating Token Index: 890

Text #4

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Max Act: 0.0132. Min Act: -0.0005

Data Index: 1590275 (Python Code)

Max Activating Token Index: 926

Text #5

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Data Index: 1479175 (Python Code)

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Text #6

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Data Index: 1614718 (Python Code)

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Text #7

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Data Index: 1553321 (Python Code)

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Text #8

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Data Index: 1601714 (Python Code)

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Text #9

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Data Index: 1384064 (Python Code)

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Text #10

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Data Index: 1436453 (Python Code)

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Text #11

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Data Index: 1650886 (Python Code)

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Text #12

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Data Index: 1432652 (Python Code)

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Text #13

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Data Index: 1393817 (Python Code)

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Text #14

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Data Index: 1552118 (Python Code)

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Text #15

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Data Index: 1588037 (Python Code)

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Text #16

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Data Index: 1644759 (Python Code)

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Text #17

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Data Index: 1599018 (Python Code)

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Text #18

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Data Index: 1527014 (Python Code)

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Text #19

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Data Index: 1471417 (Python Code)

Max Activating Token Index: 910