Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 166 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0120. Min Range: -0.0120

Max Act: 0.0120. Min Act: -0.0003

Data Index: 1486884 (Python Code)

Max Activating Token Index: 800

Text #1

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Max Act: 0.0099. Min Act: -0.0004

Data Index: 395715 (C4 (Web Text))

Max Activating Token Index: 708

Text #2

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Max Act: 0.0095. Min Act: -0.0003

Data Index: 1392569 (Python Code)

Max Activating Token Index: 183

Text #3

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Max Act: 0.0095. Min Act: -0.0003

Data Index: 1430683 (Python Code)

Max Activating Token Index: 966

Text #4

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Max Act: 0.0090. Min Act: -0.0003

Data Index: 1456992 (Python Code)

Max Activating Token Index: 899

Text #5

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Max Act: 0.0086. Min Act: -0.0003

Data Index: 982046 (C4 (Web Text))

Max Activating Token Index: 770

Text #6

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Max Act: 0.0085. Min Act: -0.0003

Data Index: 124937 (C4 (Web Text))

Max Activating Token Index: 756

Text #7

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Max Act: 0.0083. Min Act: -0.0003

Data Index: 1542115 (Python Code)

Max Activating Token Index: 470

Text #8

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Max Act: 0.0081. Min Act: -0.0003

Data Index: 1484783 (Python Code)

Max Activating Token Index: 533

Text #9

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Max Act: 0.0081. Min Act: -0.0003

Data Index: 1542618 (Python Code)

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Text #10

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Data Index: 1453748 (Python Code)

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Text #11

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Data Index: 1570734 (Python Code)

Max Activating Token Index: 161

Text #12

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Data Index: 187588 (C4 (Web Text))

Max Activating Token Index: 884

Text #13

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Data Index: 1467688 (Python Code)

Max Activating Token Index: 480

Text #14

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Data Index: 1578797 (Python Code)

Max Activating Token Index: 990

Text #15

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Data Index: 413725 (C4 (Web Text))

Max Activating Token Index: 188

Text #16

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Data Index: 1480807 (Python Code)

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Text #17

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Data Index: 496215 (C4 (Web Text))

Max Activating Token Index: 553

Text #18

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Data Index: 1458637 (Python Code)

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Text #19

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Max Act: 0.0074. Min Act: -0.0004

Data Index: 1290250 (C4 (Web Text))

Max Activating Token Index: 822