Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 240 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0843. Min Act: -0.0001

Data Index: 282206 (C4 (Web Text))

Max Activating Token Index: 723

Text #1

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Max Activating Token Index: 681

Text #2

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Max Act: 0.0690. Min Act: -0.0001

Data Index: 182385 (C4 (Web Text))

Max Activating Token Index: 504

Text #3

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Max Act: 0.0584. Min Act: -0.0001

Data Index: 225605 (C4 (Web Text))

Max Activating Token Index: 653

Text #4

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Data Index: 137339 (C4 (Web Text))

Max Activating Token Index: 90

Text #5

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Data Index: 675218 (C4 (Web Text))

Max Activating Token Index: 524

Text #6

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Max Activating Token Index: 77

Text #7

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Max Activating Token Index: 88

Text #8

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Max Activating Token Index: 208

Text #9

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Max Activating Token Index: 768

Text #10

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Data Index: 459223 (C4 (Web Text))

Max Activating Token Index: 532

Text #11

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Max Activating Token Index: 937

Text #12

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Max Activating Token Index: 427

Text #13

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Data Index: 422161 (C4 (Web Text))

Max Activating Token Index: 611

Text #14

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Data Index: 160485 (C4 (Web Text))

Max Activating Token Index: 154

Text #15

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Max Activating Token Index: 459

Text #16

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Max Activating Token Index: 250

Text #17

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Max Activating Token Index: 276

Text #18

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Data Index: 29758 (C4 (Web Text))

Max Activating Token Index: 597

Text #19

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Data Index: 54582 (C4 (Web Text))

Max Activating Token Index: 788