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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 2683 in Layer 1

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-12l')

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Text #0

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Max Act: 0.0772. Min Act: -0.0002

Data Index: 394633 (C4 (Web Text))

Max Activating Token Index: 172

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Text #1

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Max Act: 0.0771. Min Act: -0.0002

Data Index: 656401 (C4 (Web Text))

Max Activating Token Index: 164

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Text #2

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Max Act: 0.0757. Min Act: -0.0002

Data Index: 1347139 (C4 (Web Text))

Max Activating Token Index: 202

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Text #3

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Max Act: 0.0734. Min Act: -0.0002

Data Index: 417868 (C4 (Web Text))

Max Activating Token Index: 178

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Text #4

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Data Index: 896123 (C4 (Web Text))

Max Activating Token Index: 25

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Truncated

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Text #5

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Data Index: 741544 (C4 (Web Text))

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Text #6

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Data Index: 1309492 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 1239286 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 377824 (C4 (Web Text))

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Text #9

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Data Index: 849397 (C4 (Web Text))

Max Activating Token Index: 161

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Text #10

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Data Index: 1332371 (C4 (Web Text))

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Truncated

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Text #11

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Text #12

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Data Index: 419600 (C4 (Web Text))

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Text #13

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Data Index: 576157 (C4 (Web Text))

Max Activating Token Index: 132

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Truncated

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Text #14

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Data Index: 51498 (C4 (Web Text))

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Text #15

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Data Index: 1168259 (C4 (Web Text))

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Text #16

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Data Index: 1358209 (C4 (Web Text))

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Text #17

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Text #18

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Data Index: 1083433 (C4 (Web Text))

Max Activating Token Index: 77

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Text #19

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Data Index: 1393861 (Python Code)

Max Activating Token Index: 774

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