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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1004 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0425. Min Act: -0.0003

Data Index: 1435827 (Python Code)

Max Activating Token Index: 764

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Text #1

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Max Act: 0.0406. Min Act: -0.0003

Data Index: 1529340 (Python Code)

Max Activating Token Index: 378

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Text #2

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Max Act: 0.0330. Min Act: -0.0003

Data Index: 1535624 (Python Code)

Max Activating Token Index: 899

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Text #3

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Max Act: 0.0335. Min Act: -0.0003

Data Index: 1469700 (Python Code)

Max Activating Token Index: 168

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Text #4

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Data Index: 1411618 (Python Code)

Max Activating Token Index: 425

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Text #5

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Data Index: 1406923 (Python Code)

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Data Index: 1450348 (Python Code)

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Text #7

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Data Index: 1553045 (Python Code)

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Text #8

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Data Index: 1505023 (Python Code)

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Text #9

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Data Index: 1521400 (Python Code)

Max Activating Token Index: 279

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Text #10

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Data Index: 1398278 (Python Code)

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Text #11

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Data Index: 1595751 (Python Code)

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Text #12

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Text #14

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Data Index: 1374794 (Python Code)

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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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Text #19

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Data Index: 1444852 (Python Code)

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