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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. 2780
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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
    Not in Any Lists

    No Comments

    Negative Logits
    APTER
    -0.79
     DARK
    -0.70
    anooga
    -0.68
    verting
    -0.67
     Burg
    -0.65
    LOCK
    -0.63
    cery
    -0.62
     DEF
    -0.61
    KER
    -0.61
     COP
    -0.60
    POSITIVE LOGITS
    ration
    1.15
    edu
    0.80
    soDeliveryDate
    0.79
    inventoryQuantity
    0.76
    iggurat
    0.76
    irtual
    0.72
    english
    0.72
    wered
    0.71
    elist
    0.69
    andr
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.