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

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

Neuron 279 in Layer 0

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

Text #0

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Max Act: 0.0297. Min Act: -0.0002

Data Index: 3498 (C4 (Web Text))

Max Activating Token Index: 390

Text #1

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Data Index: 74880 (C4 (Web Text))

Max Activating Token Index: 392

Text #2

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Data Index: 502379 (C4 (Web Text))

Max Activating Token Index: 292

Text #3

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Data Index: 296706 (C4 (Web Text))

Max Activating Token Index: 337

Text #4

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Max Activating Token Index: 299

Text #5

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Max Activating Token Index: 347

Text #6

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Text #7

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Max Activating Token Index: 411

Text #8

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Text #9

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Max Activating Token Index: 467

Text #10

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Text #11

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Max Activating Token Index: 512

Text #12

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Max Activating Token Index: 230

Text #13

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Data Index: 550369 (C4 (Web Text))

Max Activating Token Index: 256

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: 108

Text #19

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Data Index: 954852 (C4 (Web Text))

Max Activating Token Index: 587