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

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

Neuron 3007 in Layer 2

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

Text #0

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Data Index: 286233 (C4 (Web Text))

Max Activating Token Index: 99

Text #1

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Max Activating Token Index: 892

Text #2

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Max Act: 0.1505. Min Act: -0.0002

Data Index: 279299 (C4 (Web Text))

Max Activating Token Index: 860

Text #3

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Max Act: 0.1485. Min Act: -0.0002

Data Index: 701306 (C4 (Web Text))

Max Activating Token Index: 424

Text #4

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Max Activating Token Index: 887

Text #5

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Max Activating Token Index: 129

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Data Index: 386149 (C4 (Web Text))

Max Activating Token Index: 150

Text #11

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Data Index: 257281 (C4 (Web Text))

Max Activating Token Index: 498

Text #12

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Text #13

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Data Index: 476354 (C4 (Web Text))

Max Activating Token Index: 438

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: 552

Text #19

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Data Index: 278275 (C4 (Web Text))

Max Activating Token Index: 38