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

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

Neuron 737 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0005

Data Index: 170599 (C4 (Web Text))

Max Activating Token Index: 922

Text #1

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Data Index: 449056 (C4 (Web Text))

Max Activating Token Index: 513

Text #2

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Max Act: 0.0080. Min Act: -0.0005

Data Index: 372127 (C4 (Web Text))

Max Activating Token Index: 683

Text #3

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Max Act: 0.0079. Min Act: -0.0006

Data Index: 671052 (C4 (Web Text))

Max Activating Token Index: 402

Text #4

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Max Act: 0.0080. Min Act: -0.0005

Data Index: 1049324 (C4 (Web Text))

Max Activating Token Index: 435

Text #5

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Max Act: 0.0078. Min Act: -0.0006

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Max Activating Token Index: 483

Text #6

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Max Activating Token Index: 856

Text #7

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Text #8

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Max Activating Token Index: 931

Text #9

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Data Index: 388392 (C4 (Web Text))

Max Activating Token Index: 601

Text #10

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Max Activating Token Index: 1016

Text #11

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Max Activating Token Index: 200

Text #12

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Max Activating Token Index: 519

Text #13

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Max Activating Token Index: 225

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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Max Activating Token Index: 330

Text #19

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Data Index: 1296439 (C4 (Web Text))

Max Activating Token Index: 466