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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. 1711
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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
    bane
    -0.82
    jah
    -0.74
    keley
    -0.72
    rawdownloadcloneembedreportprint
    -0.69
    Cause
    -0.67
    Jesus
    -0.65
    DERR
    -0.65
    xff
    -0.65
    shaw
    -0.65
    jab
    -0.62
    POSITIVE LOGITS
    pread
    0.74
     dipping
    0.71
    emi
    0.67
    arching
    0.65
    eatures
    0.65
     concess
    0.65
     operating
    0.65
     servicing
    0.63
    inia
    0.63
    vertisement
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.