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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. 0-RES-JB
    6. 7368
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Colleges
    -0.73
    manager
    -0.70
    Hill
    -0.67
    equal
    -0.61
     Citation
    -0.60
     lists
    -0.59
    HR
    -0.58
    Work
    -0.57
    Williams
    -0.57
    mill
    -0.56
    POSITIVE LOGITS
    incinn
    0.84
    inarily
    0.81
    dinand
    0.78
    igham
    0.75
    initely
    0.73
    hower
    0.71
    enes
    0.71
    itic
    0.71
    ivably
    0.71
    OTO
    0.70
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.