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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. 1-RES-JB
    11. 610
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    Explanations

    words related to qualifications, certifications, and requirements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to qualifications and certification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vas
    -0.71
    local
    -0.71
    JUST
    -0.70
    vill
    -0.68
    kell
    -0.67
    gm
    -0.66
    CRE
    -0.65
    Hero
    -0.64
     ultras
    -0.64
    mac
    -0.63
    POSITIVE LOGITS
     qualifications
    1.29
     qualification
    1.09
    anguage
    1.09
    orship
    0.92
    anship
    0.89
     disqual
    0.86
    alties
    0.83
     disqualified
    0.82
     attainment
    0.82
    eering
    0.82
    Activations Density 0.015%

    No Known Activations