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

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

Neuron 3065 in Layer 4

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.3869. Min Act: -0.0001

Data Index: 727214 (C4 (Web Text))

Max Activating Token Index: 725

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Text #1

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Max Activating Token Index: 65

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Text #2

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Data Index: 656600 (C4 (Web Text))

Max Activating Token Index: 914

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Text #3

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Text #4

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Data Index: 465687 (C4 (Web Text))

Max Activating Token Index: 82

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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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Max Activating Token Index: 811

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Text #9

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Data Index: 201569 (C4 (Web Text))

Max Activating Token Index: 450

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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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Text #16

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Text #17

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Text #18

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Data Index: 880256 (C4 (Web Text))

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Text #19

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Data Index: 966195 (C4 (Web Text))

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