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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. 15192
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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
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    No Comments

    Negative Logits
    ãĥ´ãĤ¡
    -0.84
    å§«
    -0.77
    uese
    -0.73
    ãĥ¼ãĥĨ
    -0.73
    ":[{"
    -0.72
    ãĥ¥
    -0.71
    STEM
    -0.69
    EStream
    -0.68
    ãĥ¼ãĤ¯
    -0.68
    ãĥī
    -0.67
    POSITIVE LOGITS
     circumst
    0.68
    azi
    0.66
    bach
    0.65
    arden
    0.64
    amel
    0.62
    shadow
    0.62
     begging
    0.62
    actor
    0.62
    bara
    0.62
     testifying
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.