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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3040 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0496. Min Act: -0.0001

Data Index: 890171 (C4 (Web Text))

Max Activating Token Index: 497

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Text #1

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Max Act: 0.0474. Min Act: -0.0001

Data Index: 985428 (C4 (Web Text))

Max Activating Token Index: 226

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Text #2

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Max Act: 0.0462. Min Act: -0.0001

Data Index: 741822 (C4 (Web Text))

Max Activating Token Index: 764

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Text #3

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Data Index: 883648 (C4 (Web Text))

Max Activating Token Index: 889

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Text #4

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Data Index: 1020893 (C4 (Web Text))

Max Activating Token Index: 340

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Text #5

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Data Index: 213954 (C4 (Web Text))

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Text #6

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Data Index: 854180 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1305675 (C4 (Web Text))

Max Activating Token Index: 74

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Text #9

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Data Index: 1242325 (C4 (Web Text))

Max Activating Token Index: 861

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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: 91140 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 133951 (C4 (Web Text))

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Text #18

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Data Index: 1535691 (Python Code)

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Text #19

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Data Index: 1422957 (Python Code)

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