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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. 18809
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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
    Ĥİ
    -0.78
    onents
    -0.73
    ãĤ¡
    -0.70
    ãĤ¼ãĤ¦ãĤ¹
    -0.67
    ip
    -0.64
    essler
    -0.63
    utz
    -0.63
    iverse
    -0.62
    bugs
    -0.62
    ipper
    -0.61
    POSITIVE LOGITS
    venge
    0.70
    judicial
    0.67
     voluntary
    0.64
     unemploy
    0.63
    EStreamFrame
    0.63
    GGGGGGGG
    0.63
    aniel
    0.62
    phabet
    0.62
    arnaev
    0.62
     assum
    0.62
    Activations Density 0.000%

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    This feature has no known activations.