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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 8764
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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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    No Comments

    Negative Logits
    nesday
    -0.86
    hiro
    -0.80
    reditary
    -0.77
    wana
    -0.76
    iji
    -0.75
    sha
    -0.75
    ources
    -0.75
    ieth
    -0.73
    FACE
    -0.72
    Ô
    -0.72
    POSITIVE LOGITS
    sylvania
    0.68
     suprem
    0.66
     Pin
    0.65
    Space
    0.64
     til
    0.58
     maximum
    0.57
     spacing
    0.57
     sizes
    0.56
    µ
    0.56
     magnitude
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.