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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. 0-RES-JB
    11. 5046
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    quickShipAvailable
    -0.79
    ships
    -0.72
    ONSORED
    -0.72
     ................
    -0.69
    eem
    -0.67
     actionGroup
    -0.67
     Wife
    -0.66
    shed
    -0.65
    tail
    -0.63
    sat
    -0.62
    POSITIVE LOGITS
    _>
    0.73
     witness
    0.71
    ĸļ
    0.70
     psy
    0.70
    intel
    0.67
    brance
    0.64
    vl
    0.63
    '>
    0.61
    ftime
    0.61
    /
    0.60
    Activations Density 0.000%

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