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

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

Neuron 3222 in Layer 2

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: 0.0384. Min Act: -0.0001

Data Index: 322642 (C4 (Web Text))

Max Activating Token Index: 670

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Text #1

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Data Index: 528391 (C4 (Web Text))

Max Activating Token Index: 429

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Text #2

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Max Act: 0.0363. Min Act: -0.0001

Data Index: 954942 (C4 (Web Text))

Max Activating Token Index: 953

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Text #3

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Data Index: 515636 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #4

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Data Index: 1268310 (C4 (Web Text))

Max Activating Token Index: 896

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Text #5

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Data Index: 516703 (C4 (Web Text))

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Text #6

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Data Index: 282701 (C4 (Web Text))

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Text #7

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Data Index: 459451 (C4 (Web Text))

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Text #8

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Data Index: 1223014 (C4 (Web Text))

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Text #9

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Data Index: 71860 (C4 (Web Text))

Max Activating Token Index: 75

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Text #10

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Data Index: 1638797 (Python Code)

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Text #11

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Text #12

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Data Index: 893601 (C4 (Web Text))

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Text #13

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Data Index: 1366145 (Python Code)

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Text #14

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Data Index: 282936 (C4 (Web Text))

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Text #15

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Data Index: 1359865 (Python Code)

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Text #16

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Data Index: 756649 (C4 (Web Text))

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Text #17

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Data Index: 362356 (C4 (Web Text))

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Text #18

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Data Index: 295969 (C4 (Web Text))

Max Activating Token Index: 89

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Text #19

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Data Index: 1106816 (C4 (Web Text))

Max Activating Token Index: 369

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