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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 748 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0090. Min Act: -0.0005

Data Index: 1564016 (Python Code)

Max Activating Token Index: 488

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Text #1

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Data Index: 1599802 (Python Code)

Max Activating Token Index: 374

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Text #2

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Data Index: 1549478 (Python Code)

Max Activating Token Index: 703

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Text #3

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Data Index: 1651051 (Python Code)

Max Activating Token Index: 752

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Text #4

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Data Index: 1592410 (Python Code)

Max Activating Token Index: 141

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Text #5

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Data Index: 1073567 (C4 (Web Text))

Max Activating Token Index: 770

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Text #6

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Data Index: 1605354 (Python Code)

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Text #7

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Data Index: 960173 (C4 (Web Text))

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Text #8

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Data Index: 1461434 (Python Code)

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Text #9

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Data Index: 1467290 (Python Code)

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Text #10

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Data Index: 276623 (C4 (Web Text))

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Text #11

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Data Index: 423654 (C4 (Web Text))

Max Activating Token Index: 934

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Text #12

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Data Index: 1395953 (Python Code)

Max Activating Token Index: 241

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Text #13

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Text #14

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Data Index: 1402071 (Python Code)

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Text #15

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Data Index: 1504641 (Python Code)

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Text #16

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Data Index: 1237019 (C4 (Web Text))

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Text #17

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Data Index: 1656691 (Python Code)

Max Activating Token Index: 729

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Text #18

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Max Activating Token Index: 606

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Text #19

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Data Index: 1626496 (Python Code)

Max Activating Token Index: 1004

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