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

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

Neuron 3032 in Layer 2

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: 0.1146. Min Act: -0.0003

Data Index: 488686 (C4 (Web Text))

Max Activating Token Index: 368

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Text #1

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Max Act: 0.1095. Min Act: -0.0003

Data Index: 935038 (C4 (Web Text))

Max Activating Token Index: 70

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Text #2

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Data Index: 671750 (C4 (Web Text))

Max Activating Token Index: 857

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Text #3

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Data Index: 851407 (C4 (Web Text))

Max Activating Token Index: 934

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Text #4

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Data Index: 507777 (C4 (Web Text))

Max Activating Token Index: 262

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Text #5

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Data Index: 488449 (C4 (Web Text))

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Text #6

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Data Index: 1023684 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 564526 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 31470 (C4 (Web Text))

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Text #9

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Data Index: 1234796 (C4 (Web Text))

Max Activating Token Index: 975

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Text #10

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Data Index: 117573 (C4 (Web Text))

Max Activating Token Index: 181

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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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Data Index: 531162 (C4 (Web Text))

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Text #15

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Data Index: 116250 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1260185 (C4 (Web Text))

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Text #18

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Data Index: 371283 (C4 (Web Text))

Max Activating Token Index: 40

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Text #19

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Data Index: 1284817 (C4 (Web Text))

Max Activating Token Index: 365

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