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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. 16561
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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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    Negative Logits
    NRS
    -0.79
    akeru
    -0.75
    chrom
    -0.74
    ãĥ´
    -0.72
    externalActionCode
    -0.71
     vacuum
    -0.70
    ãĥ´ãĤ¡
    -0.65
     experience
    -0.65
     respir
    -0.65
    ãĢIJ
    -0.65
    POSITIVE LOGITS
     Ital
    0.77
    Fed
    0.65
    xual
    0.64
    Add
    0.64
    peak
    0.62
    uction
    0.62
    drops
    0.60
     Alley
    0.60
     Fathers
    0.59
     ********************************
    0.59
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