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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. 10-RES-JB
    6. 8937
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    specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -1.00
    oeuv
    -0.69
    ãĤ¤ãĥĪ
    -0.69
     metab
    -0.69
     behavi
    -0.68
    EStreamFrame
    -0.67
    ROR
    -0.66
    ãĥ¼ãĥĨ
    -0.65
    aper
    -0.65
     PRESS
    -0.64
    POSITIVE LOGITS
     Nebraska
    1.63
     Illinois
    1.59
     Idaho
    1.57
     Tennessee
    1.57
     Nevada
    1.57
     Wisconsin
    1.53
     Wyoming
    1.53
     Maryland
    1.53
     Rhode
    1.52
     Vermont
    1.52
    Activations Density 0.111%

    No Known Activations