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

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

Neuron 3039 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: 0.2769. Min Act: -0.0001

Data Index: 310183 (C4 (Web Text))

Max Activating Token Index: 144

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Text #1

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Max Act: 0.2247. Min Act: -0.0001

Data Index: 384228 (C4 (Web Text))

Max Activating Token Index: 61

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Truncated

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Text #2

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Data Index: 746008 (C4 (Web Text))

Max Activating Token Index: 55

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Text #3

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Data Index: 28579 (C4 (Web Text))

Max Activating Token Index: 467

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Truncated

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Text #4

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Data Index: 704523 (C4 (Web Text))

Max Activating Token Index: 488

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Truncated

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Text #5

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Data Index: 1173740 (C4 (Web Text))

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Text #6

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Text #7

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Data Index: 552479 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1227477 (C4 (Web Text))

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Text #9

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Data Index: 1325167 (C4 (Web Text))

Max Activating Token Index: 220

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Text #10

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Data Index: 1226363 (C4 (Web Text))

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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: 1244444 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 496520 (C4 (Web Text))

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Text #19

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Data Index: 1071271 (C4 (Web Text))

Max Activating Token Index: 30

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