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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. 1-RES-JB
    11. 5198
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Downloadha
    -0.80
    dayName
    -0.74
    ixel
    -0.70
     mathemat
    -0.69
     Indo
    -0.68
     commod
    -0.66
    HUD
    -0.64
     Recover
    -0.63
    interstitial
    -0.62
    uyomi
    -0.62
    POSITIVE LOGITS
     largeDownload
    0.71
    agra
    0.69
     Sov
    0.69
    vo
    0.64
    iment
    0.60
    ele
    0.59
     Rak
    0.59
    fed
    0.58
     Yang
    0.58
    ailed
    0.58
    Activations Density 0.000%

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