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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. 8272
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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
    Oracle
    -0.83
     largeDownload
    -0.75
    ysis
    -0.74
    TPP
    -0.73
    DVD
    -0.73
    ollo
    -0.73
    illance
    -0.72
    uador
    -0.70
    ĨĴ
    -0.70
    ername
    -0.69
    POSITIVE LOGITS
     dup
    0.71
     kin
    0.68
     blankets
    0.67
     Solid
    0.65
    seys
    0.63
     EQ
    0.63
     Fork
    0.62
     scales
    0.61
     Integrated
    0.61
    bon
    0.60
    Activations Density 0.000%

    No Known Activations

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