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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. 9-RES-JB
    11. 24245
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    INDEX
    Explanations

    proper nouns and abbreviations related to organizations and individuals

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms, particularly those representing organizations or titles

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     STATS
    -0.62
     Responsibility
    -0.60
    imov
    -0.60
    radius
    -0.57
    saf
    -0.57
     innocence
    -0.57
    chester
    -0.55
     sanct
    -0.55
     uncertainties
    -0.55
     angels
    -0.55
    POSITIVE LOGITS
    ulhu
    1.03
    oshenko
    0.92
    edo
    0.87
    uyomi
    0.83
    dfx
    0.83
    yip
    0.82
    dden
    0.81
    asury
    0.81
    hiba
    0.79
    umatic
    0.79
    Activations Density 0.377%

    No Known Activations