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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. 119
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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
    ļéĨĴ
    -0.83
    lished
    -0.83
    adobe
    -0.78
    amaz
    -0.77
    iets
    -0.76
    ãĤ¼ãĤ¦ãĤ¹
    -0.74
    zers
    -0.72
     caut
    -0.72
    ACP
    -0.72
    ãħĭ
    -0.72
    POSITIVE LOGITS
     syndrome
    0.70
     ("
    0.68
     immediately
    0.63
     associated
    0.63
     intended
    0.62
     sideline
    0.62
     touchscreen
    0.60
     allegedly
    0.59
     effect
    0.59
     infield
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.