Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 8 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 356283 (C4 (Web Text))
Max Activating Token Index: 440
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Text #1
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Data Index: 781988 (C4 (Web Text))
Max Activating Token Index: 354
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Text #2
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Data Index: 857914 (C4 (Web Text))
Max Activating Token Index: 114
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Text #3
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Data Index: 240604 (C4 (Web Text))
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Text #4
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Data Index: 1018489 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 148651 (C4 (Web Text))
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Text #7
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Data Index: 490028 (C4 (Web Text))
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Text #8
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Data Index: 1233487 (C4 (Web Text))
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Text #9
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Data Index: 1647987 (Python Code)
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Text #10
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Data Index: 1186012 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 348282 (C4 (Web Text))
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Text #13
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Data Index: 469959 (C4 (Web Text))
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Text #14
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Data Index: 313318 (C4 (Web Text))
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Text #15
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Data Index: 1599304 (Python Code)
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Text #16
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Data Index: 124606 (C4 (Web Text))
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Text #17
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Data Index: 1209707 (C4 (Web Text))
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Text #18
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Data Index: 246160 (C4 (Web Text))
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Text #19
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Data Index: 62768 (C4 (Web Text))
Max Activating Token Index: 953
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