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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2979 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 2.8516. Min Act: -0.0001

Data Index: 1363111 (Python Code)

Max Activating Token Index: 596

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Text #1

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Data Index: 1039490 (C4 (Web Text))

Max Activating Token Index: 780

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Text #2

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Data Index: 1145393 (C4 (Web Text))

Max Activating Token Index: 253

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Text #3

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Data Index: 251482 (C4 (Web Text))

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Text #4

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Data Index: 997943 (C4 (Web Text))

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Text #5

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Text #6

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Text #7

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Text #8

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Data Index: 832575 (C4 (Web Text))

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Text #9

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Data Index: 451108 (C4 (Web Text))

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Text #10

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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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Text #15

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Data Index: 384265 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 564560 (C4 (Web Text))

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Text #18

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Data Index: 471187 (C4 (Web Text))

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Text #19

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Data Index: 1209656 (C4 (Web Text))

Max Activating Token Index: 634

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