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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. 3-RES-JB
    11. 12184
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    Explanations

    names of individuals or entities such as "Roe," "Rosenstein," "Kavanaugh," "Kers," "pree," "avanaugh," "Sharia," "Reprodu," and "Ryder."

    oai_token-act-pair · gpt-3.5-turbo

    names of people and references to political figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DCS
    -0.81
    rador
    -0.69
     Agents
    -0.67
     Immunity
    -0.65
     Improvement
    -0.65
     Volunteers
    -0.64
    ontent
    -0.64
    ropolitan
    -0.62
     Fortress
    -0.61
    arius
    -0.61
    POSITIVE LOGITS
     Roe
    0.92
    kus
    0.82
    ggy
    0.82
    zon
    0.81
    pees
    0.79
    stein
    0.78
    gger
    0.76
    ppel
    0.76
    cks
    0.74
    leigh
    0.74
    Activations Density 0.011%

    No Known Activations