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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2512 in Layer 8

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.4749. Min Act: -0.0000

Data Index: 642105 (C4 (Web Text))

Max Activating Token Index: 549

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Text #1

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Max Act: 0.4276. Min Act: -0.0000

Data Index: 742664 (C4 (Web Text))

Max Activating Token Index: 229

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Truncated

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Text #2

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Max Act: 0.4439. Min Act: -0.0000

Data Index: 195280 (C4 (Web Text))

Max Activating Token Index: 850

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Text #3

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Max Act: 0.4154. Min Act: -0.0000

Data Index: 120975 (C4 (Web Text))

Max Activating Token Index: 530

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Truncated

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Text #4

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Max Act: 0.4122. Min Act: -0.0000

Data Index: 368407 (C4 (Web Text))

Max Activating Token Index: 268

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Truncated

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Text #5

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Data Index: 51623 (C4 (Web Text))

Max Activating Token Index: 858

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Text #6

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Data Index: 504822 (C4 (Web Text))

Max Activating Token Index: 84

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Text #7

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Data Index: 75850 (C4 (Web Text))

Max Activating Token Index: 321

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Truncated

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Text #8

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Data Index: 596857 (C4 (Web Text))

Max Activating Token Index: 772

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Text #9

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Data Index: 643201 (C4 (Web Text))

Max Activating Token Index: 423

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Text #10

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Data Index: 91394 (C4 (Web Text))

Max Activating Token Index: 274

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Text #11

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Text #12

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Data Index: 748232 (C4 (Web Text))

Max Activating Token Index: 757

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Text #13

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Data Index: 589731 (C4 (Web Text))

Max Activating Token Index: 1020

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Text #14

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Data Index: 1516337 (Python Code)

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Text #15

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Data Index: 1640361 (Python Code)

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Text #16

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Data Index: 958164 (C4 (Web Text))

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Text #17

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Max Act: 0.3161. Min Act: -0.0000

Data Index: 586956 (C4 (Web Text))

Max Activating Token Index: 790

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Text #18

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Max Act: 0.3091. Min Act: -0.0000

Data Index: 1473108 (Python Code)

Max Activating Token Index: 665

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Text #19

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Max Act: 0.3098. Min Act: -0.0000

Data Index: 1021811 (C4 (Web Text))

Max Activating Token Index: 618

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