Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2993 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0067. Min Act: -0.0002

Data Index: 1594282 (Python Code)

Max Activating Token Index: 1004

Text #1

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Max Act: 0.0065. Min Act: -0.0002

Data Index: 741807 (C4 (Web Text))

Max Activating Token Index: 1009

Text #2

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Max Act: 0.0064. Min Act: -0.0003

Data Index: 425248 (C4 (Web Text))

Max Activating Token Index: 1008

Text #3

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 1481901 (Python Code)

Max Activating Token Index: 1008

Text #4

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Max Act: 0.0063. Min Act: -0.0002

Data Index: 1601532 (Python Code)

Max Activating Token Index: 1007

Text #5

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Max Act: 0.0062. Min Act: -0.0003

Data Index: 524677 (C4 (Web Text))

Max Activating Token Index: 984

Text #6

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Max Activating Token Index: 1014

Text #7

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Data Index: 212213 (C4 (Web Text))

Max Activating Token Index: 998

Text #8

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Data Index: 1649409 (Python Code)

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Text #9

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Data Index: 1446813 (Python Code)

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Text #10

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Data Index: 925653 (C4 (Web Text))

Max Activating Token Index: 998

Text #11

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Data Index: 1428317 (Python Code)

Max Activating Token Index: 1002

Text #12

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Text #13

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Data Index: 841502 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1498348 (Python Code)

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Text #18

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Max Activating Token Index: 1003

Text #19

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Max Act: 0.0058. Min Act: -0.0003

Data Index: 1022590 (C4 (Web Text))

Max Activating Token Index: 998