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

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

Neuron 1944 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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Data Index: 1494859 (Python Code)

Max Activating Token Index: 474

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Text #1

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Data Index: 132358 (C4 (Web Text))

Max Activating Token Index: 244

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Text #2

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Data Index: 1353905 (C4 (Web Text))

Max Activating Token Index: 204

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Text #3

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Data Index: 321349 (C4 (Web Text))

Max Activating Token Index: 169

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Text #4

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Data Index: 1181271 (C4 (Web Text))

Max Activating Token Index: 987

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Text #5

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Data Index: 337220 (C4 (Web Text))

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Text #6

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Data Index: 995550 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 145349 (C4 (Web Text))

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Text #9

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Data Index: 1266008 (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: 757190 (C4 (Web Text))

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Text #19

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