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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 7751
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    Explanations

    medical conditions, injuries, and treatments

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with injuries and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    quickShipAvailable
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    ©¶æ¥µ
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    ĸļ
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     Sie
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    rick
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    assium
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    Password
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    iden
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    ccording
    -0.60
    roth
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    POSITIVE LOGITS
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     behalf
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    lees
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    â̦]
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    secut
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    ......
    0.55
     [[
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    imens
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     [+]
    0.54
    Activations Density 0.106%

    No Known Activations