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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. 2-RES-JB
    11. 9140
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Inferno
    -0.68
     cru
    -0.66
     Purg
    -0.64
     favoured
    -0.62
     yarn
    -0.62
    urated
    -0.61
     Queens
    -0.61
     ports
    -0.61
     bombers
    -0.61
     Tanks
    -0.60
    POSITIVE LOGITS
    eanor
    0.73
    Thumbnail
    0.73
    igure
    0.73
    insula
    0.73
    entary
    0.72
    ansky
    0.71
    utive
    0.69
    """
    0.69
    udeb
    0.68
    Offline
    0.68
    Activations Density 0.000%

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