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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. 6611
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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
     rou
    -0.68
     NBN
    -0.66
     Nvidia
    -0.65
     Gat
    -0.65
     Poker
    -0.64
     Bett
    -0.62
     Zhu
    -0.62
     Bosh
    -0.62
     Grizzlies
    -0.60
     Vaughn
    -0.60
    POSITIVE LOGITS
    s
    1.05
    sand
    0.92
    ses
    0.92
    sb
    0.87
    sburg
    0.83
    irgin
    0.83
    ename
    0.80
    sbm
    0.79
    edIn
    0.78
    sama
    0.76
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.