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

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

Neuron 1167 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0005

Data Index: 1540111 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0082. Min Act: -0.0003

Data Index: 1612175 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0076. Min Act: -0.0005

Data Index: 1595351 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0070. Min Act: -0.0005

Data Index: 1502877 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0067. Min Act: -0.0005

Data Index: 1518327 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0065. Min Act: -0.0005

Data Index: 1385759 (Python Code)

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Text #6

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Data Index: 1644106 (Python Code)

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Text #7

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Data Index: 1404582 (Python Code)

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Text #8

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Text #9

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Text #10

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Text #11

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Data Index: 1597602 (Python Code)

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Text #12

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Data Index: 1613834 (Python Code)

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Text #13

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Data Index: 1604945 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 242741 (C4 (Web Text))

Max Activating Token Index: 1023

Text #15

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Data Index: 1616692 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1487205 (Python Code)

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Text #19

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Data Index: 1654551 (Python Code)

Max Activating Token Index: 229