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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. 1-RES-JB
    11. 18748
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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
     Random
    -0.71
     prenatal
    -0.65
    ãĥ¼ãĥ³
    -0.64
     stereotypes
    -0.64
     colonialism
    -0.64
     gender
    -0.63
     Astro
    -0.63
     Orth
    -0.62
     whims
    -0.62
     mono
    -0.62
    POSITIVE LOGITS
    umbn
    0.91
    arij
    0.84
    esc
    0.77
    saf
    0.75
    quished
    0.74
    igmatic
    0.74
    qus
    0.73
    onew
    0.73
    dj
    0.72
    arag
    0.72
    Activations Density 0.000%

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