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

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

Neuron 2756 in Layer 9

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



Text #0

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Max Act: 2.6434. Min Act: -0.0000

Data Index: 1206611 (C4 (Web Text))

Max Activating Token Index: 330

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Text #1

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Data Index: 288489 (C4 (Web Text))

Max Activating Token Index: 395

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Text #2

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Max Act: 2.1983. Min Act: -0.0000

Data Index: 1193284 (C4 (Web Text))

Max Activating Token Index: 624

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Text #3

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Max Act: 2.1942. Min Act: -0.0000

Data Index: 876605 (C4 (Web Text))

Max Activating Token Index: 924

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Truncated

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Text #4

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Max Act: 1.8344. Min Act: -0.0000

Data Index: 593271 (C4 (Web Text))

Max Activating Token Index: 984

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Text #5

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Data Index: 88032 (C4 (Web Text))

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Text #6

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Data Index: 812592 (C4 (Web Text))

Max Activating Token Index: 401

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Text #7

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Data Index: 237508 (C4 (Web Text))

Max Activating Token Index: 1009

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Text #8

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Data Index: 220928 (C4 (Web Text))

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Text #9

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Data Index: 196799 (C4 (Web Text))

Max Activating Token Index: 735

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Text #10

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Data Index: 874539 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Text #14

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Data Index: 651731 (C4 (Web Text))

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Text #15

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Data Index: 198183 (C4 (Web Text))

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Text #16

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Data Index: 1367267 (Python Code)

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Text #17

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Data Index: 1515376 (Python Code)

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Text #18

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Max Act: 1.4923. Min Act: -0.0000

Data Index: 6323 (C4 (Web Text))

Max Activating Token Index: 272

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Text #19

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Data Index: 927346 (C4 (Web Text))

Max Activating Token Index: 402

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