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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. 1-RES-JB
    6. 576
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sonian
    -0.77
     reluct
    -0.66
     cru
    -0.65
     diction
    -0.65
     CBI
    -0.64
     centrif
    -0.63
    utic
    -0.62
     cumbers
    -0.60
     Cunningham
    -0.60
     metic
    -0.60
    POSITIVE LOGITS
    abase
    0.73
     Wind
    0.67
    anza
    0.66
     Oak
    0.65
     Voice
    0.64
     Wolf
    0.64
     Cand
    0.63
     Stam
    0.63
    efe
    0.62
    emetery
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.