Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1294 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0088. Min Act: -0.0004

Data Index: 1398109 (Python Code)

Max Activating Token Index: 308

Text #1

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Max Act: 0.0087. Min Act: -0.0004

Data Index: 1372290 (Python Code)

Max Activating Token Index: 584

Text #2

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Max Act: 0.0084. Min Act: -0.0004

Data Index: 1543680 (Python Code)

Max Activating Token Index: 126

Text #3

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Max Act: 0.0085. Min Act: -0.0004

Data Index: 1450817 (Python Code)

Max Activating Token Index: 697

Text #4

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Max Act: 0.0084. Min Act: -0.0004

Data Index: 1075669 (C4 (Web Text))

Max Activating Token Index: 446

Text #5

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Max Act: 0.0080. Min Act: -0.0004

Data Index: 404924 (C4 (Web Text))

Max Activating Token Index: 332

Text #6

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Data Index: 1475757 (Python Code)

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Text #7

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Data Index: 1448665 (Python Code)

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Text #8

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Max Activating Token Index: 444

Text #9

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Max Activating Token Index: 341

Text #10

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Data Index: 1446705 (Python Code)

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Text #11

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Text #12

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Max Activating Token Index: 362

Text #13

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Max Activating Token Index: 356

Text #14

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Max Activating Token Index: 820

Text #15

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Data Index: 1475921 (Python Code)

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Text #16

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Text #17

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Text #18

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Text #19

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Max Act: 0.0072. Min Act: -0.0004

Data Index: 1348885 (C4 (Web Text))

Max Activating Token Index: 477