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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4089 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0267. Min Act: -0.0001

Data Index: 1280885 (C4 (Web Text))

Max Activating Token Index: 207

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Text #1

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Data Index: 1177640 (C4 (Web Text))

Max Activating Token Index: 703

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Truncated

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Text #2

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Max Act: 0.0245. Min Act: -0.0001

Data Index: 418998 (C4 (Web Text))

Max Activating Token Index: 106

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Text #3

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Data Index: 1072551 (C4 (Web Text))

Max Activating Token Index: 415

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Truncated

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Text #4

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Data Index: 1147162 (C4 (Web Text))

Max Activating Token Index: 934

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Truncated

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Text #5

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Data Index: 1313257 (C4 (Web Text))

Max Activating Token Index: 511

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Text #6

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Data Index: 921402 (C4 (Web Text))

Max Activating Token Index: 784

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 35947 (C4 (Web Text))

Max Activating Token Index: 66

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Text #9

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Data Index: 138964 (C4 (Web Text))

Max Activating Token Index: 869

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Text #10

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Data Index: 78654 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1110912 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 956345 (C4 (Web Text))

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Text #15

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Data Index: 674088 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 393778 (C4 (Web Text))

Max Activating Token Index: 746

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Text #18

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Data Index: 1118066 (C4 (Web Text))

Max Activating Token Index: 461

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Truncated

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Text #19

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Data Index: 368002 (C4 (Web Text))

Max Activating Token Index: 348

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