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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. 10-RES-JB
    11. 8063
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    Explanations

    names of individuals called Mark

    oai_token-act-pair · gpt-3.5-turbo

    the name "Mark" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     decomp
    -0.72
    ILLE
    -0.65
    dayName
    -0.65
    abama
    -0.61
    pmwiki
    -0.61
    foreseen
    -0.61
    SOURCE
    -0.61
    Member
    -0.61
    wrapper
    -0.60
    ties
    -0.57
    POSITIVE LOGITS
     Twain
    1.28
    eting
    1.24
     Zuckerberg
    1.23
    ipl
    1.11
    iewicz
    1.10
    eters
    1.06
    owitz
    1.02
     Dupl
    0.97
    edly
    0.96
    ovic
    0.89
    Activations Density 0.013%

    No Known Activations