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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. 2658
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    Explanations

    names or terms related to public figures

    oai_token-act-pair · gpt-3.5-turbo

    prominent names and references within contexts related to media and public figures

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    IUM
    -0.82
    DAQ
    -0.79
    Temperature
    -0.65
     Lumpur
    -0.64
     Siren
    -0.62
    arine
    -0.61
     Nadu
    -0.61
    perty
    -0.61
     Nikki
    -0.60
    nesota
    -0.60
    POSITIVE LOGITS
    enhagen
    0.78
    ulic
    0.68
    aminer
    0.67
    ilon
    0.67
    bender
    0.65
    antz
    0.64
    anson
    0.62
    due
    0.61
    annabin
    0.61
    ritz
    0.61
    Activations Density 0.191%

    No Known Activations