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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. 4462
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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
    apons
    -0.78
    ulner
    -0.69
    olitan
    -0.66
     Suff
    -0.65
     Restaur
    -0.65
     Mortgage
    -0.64
     Fritz
    -0.64
     Harriet
    -0.62
    inances
    -0.61
    stru
    -0.61
    POSITIVE LOGITS
     ultraviolet
    0.65
     ray
    0.63
    abouts
    0.62
    apeshifter
    0.60
    ifter
    0.59
     downside
    0.59
    ignty
    0.59
    tails
    0.59
     respectively
    0.59
     cryst
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.