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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. 3-RES-JB
    6. 18803
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     BM
    -0.66
    olicy
    -0.65
     wid
    -0.63
    AMI
    -0.63
     chast
    -0.61
     Hels
    -0.60
     Moder
    -0.60
     Judgment
    -0.59
    ":""},{"
    -0.59
     terminals
    -0.59
    POSITIVE LOGITS
    phabet
    0.83
    é¾įåĸļ士
    0.74
    intestinal
    0.71
    omsky
    0.71
     Dinosaur
    0.70
    checks
    0.69
    etch
    0.69
    tis
    0.68
    WAYS
    0.68
     Dickinson
    0.65
    Activations Density 0.000%

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