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

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

Neuron 2984 in Layer 3

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: 0.2405. Min Act: -0.0001

Data Index: 968216 (C4 (Web Text))

Max Activating Token Index: 321

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Text #1

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Data Index: 608421 (C4 (Web Text))

Max Activating Token Index: 369

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Text #2

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Data Index: 86696 (C4 (Web Text))

Max Activating Token Index: 468

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Text #3

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Data Index: 871526 (C4 (Web Text))

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Text #4

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Data Index: 278533 (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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Text #9

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Data Index: 1034961 (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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Text #16

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Text #17

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Text #18

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Data Index: 597135 (C4 (Web Text))

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Text #19

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Data Index: 233063 (C4 (Web Text))

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