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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 7217
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    Explanations

    names of geographical locations and universities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GER
    -0.77
    DM
    -0.76
    ECH
    -0.74
    bm
    -0.72
    IJ
    -0.72
    icon
    -0.71
    BM
    -0.71
    gence
    -0.71
    CG
    -0.70
    DI
    -0.70
    POSITIVE LOGITS
    ãĤº
    0.77
     Santorum
    0.75
     Rutgers
    0.73
     Rolling
    0.71
     Roe
    0.70
     Presbyter
    0.69
     Salam
    0.69
     Samson
    0.68
     Starfleet
    0.68
     Pulitzer
    0.68
    Activations Density 0.185%

    No Known Activations