Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 24 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 1086640 (C4 (Web Text))

Max Activating Token Index: 154

Text #1

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Data Index: 116520 (C4 (Web Text))

Max Activating Token Index: 512

Text #2

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Max Act: 0.0148. Min Act: -0.0005

Data Index: 395064 (C4 (Web Text))

Max Activating Token Index: 453

Text #3

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Max Act: 0.0145. Min Act: -0.0005

Data Index: 47713 (C4 (Web Text))

Max Activating Token Index: 442

Text #4

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Data Index: 790221 (C4 (Web Text))

Max Activating Token Index: 711

Text #5

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Data Index: 302439 (C4 (Web Text))

Max Activating Token Index: 394

Text #6

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Max Activating Token Index: 953

Text #7

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Data Index: 1551813 (Python Code)

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Text #8

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Data Index: 1246261 (C4 (Web Text))

Max Activating Token Index: 499

Text #9

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Data Index: 376231 (C4 (Web Text))

Max Activating Token Index: 994

Text #10

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Max Activating Token Index: 705

Text #11

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Max Activating Token Index: 89

Text #12

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Max Activating Token Index: 397

Text #13

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Max Activating Token Index: 969

Text #14

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Max Activating Token Index: 549

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: 596

Text #19

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Data Index: 904751 (C4 (Web Text))

Max Activating Token Index: 562