Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 882 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0405. Min Act: -0.0003

Data Index: 1287123 (C4 (Web Text))

Max Activating Token Index: 168

Text #1

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Data Index: 998412 (C4 (Web Text))

Max Activating Token Index: 774

Text #2

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Max Act: 0.0360. Min Act: -0.0003

Data Index: 305473 (C4 (Web Text))

Max Activating Token Index: 306

Text #3

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Max Act: 0.0341. Min Act: -0.0003

Data Index: 105072 (C4 (Web Text))

Max Activating Token Index: 325

Text #4

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Data Index: 805461 (C4 (Web Text))

Max Activating Token Index: 431

Text #5

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Data Index: 500280 (C4 (Web Text))

Max Activating Token Index: 194

Text #6

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Max Activating Token Index: 453

Text #7

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Max Activating Token Index: 854

Text #8

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Max Activating Token Index: 600

Text #9

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Max Activating Token Index: 826

Text #10

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Data Index: 97854 (C4 (Web Text))

Max Activating Token Index: 624

Text #11

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Max Activating Token Index: 137

Text #12

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Max Activating Token Index: 903

Text #13

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Data Index: 819562 (C4 (Web Text))

Max Activating Token Index: 405

Text #14

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Data Index: 1166971 (C4 (Web Text))

Max Activating Token Index: 311

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 174

Text #18

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Data Index: 302838 (C4 (Web Text))

Max Activating Token Index: 284

Text #19

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Data Index: 446115 (C4 (Web Text))

Max Activating Token Index: 832