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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 103
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    Explanations

    references to the name "Fett"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ¥ŀ
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     tremend
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    BuyableInstoreAndOnline
    -0.68
    EStream
    -0.68
    ¥µ
    -0.68
     lapse
    -0.68
    ĪĴ
    -0.67
     princ
    -0.66
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    ett
    0.89
    iquette
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    erer
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    erers
    0.80
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    eland
    0.78
    arian
    0.78
    rell
    0.78
    aday
    0.77
    Activations Density 0.017%

    No Known Activations