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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. 2255
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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
    matically
    -0.74
    sterdam
    -0.73
     ourselves
    -0.71
     cinem
    -0.71
     trough
    -0.68
    risome
    -0.67
    multipl
    -0.67
    arnaev
    -0.66
     attm
    -0.64
    chapter
    -0.63
    POSITIVE LOGITS
    ijn
    0.74
    ERO
    0.74
    éĹĺ
    0.70
    imaru
    0.68
    ipe
    0.66
    YN
    0.63
    ãĥīãĥ©ãĤ´ãĥ³
    0.63
    KNOWN
    0.63
    oons
    0.62
    upe
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.