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

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

Neuron 1323 in Layer 0

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

Text #0

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Max Act: 0.0094. Min Act: -0.0005

Data Index: 1433342 (Python Code)

Max Activating Token Index: 936

Text #1

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Max Act: 0.0092. Min Act: -0.0005

Data Index: 1262982 (C4 (Web Text))

Max Activating Token Index: 695

Text #2

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Max Act: 0.0091. Min Act: -0.0005

Data Index: 1529302 (Python Code)

Max Activating Token Index: 695

Text #3

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Max Act: 0.0090. Min Act: -0.0005

Data Index: 1183650 (C4 (Web Text))

Max Activating Token Index: 708

Text #4

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Max Act: 0.0090. Min Act: -0.0006

Data Index: 1218083 (C4 (Web Text))

Max Activating Token Index: 717

Text #5

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Max Act: 0.0089. Min Act: -0.0005

Data Index: 976363 (C4 (Web Text))

Max Activating Token Index: 458

Text #6

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Text #7

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Data Index: 924457 (C4 (Web Text))

Max Activating Token Index: 573

Text #8

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Text #9

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Data Index: 1578428 (Python Code)

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Text #10

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Max Activating Token Index: 838

Text #11

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Data Index: 248004 (C4 (Web Text))

Max Activating Token Index: 95

Text #12

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Max Activating Token Index: 387

Text #13

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Data Index: 447521 (C4 (Web Text))

Max Activating Token Index: 562

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 450267 (C4 (Web Text))

Max Activating Token Index: 797

Text #19

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Max Act: 0.0085. Min Act: -0.0005

Data Index: 717555 (C4 (Web Text))

Max Activating Token Index: 198