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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. 1679
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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
    cffffcc
    -1.20
    krit
    -0.86
    ague
    -0.81
     guiActiveUnfocused
    -0.81
    uez
    -0.79
    etheless
    -0.77
    ļé
    -0.77
    ²¾
    -0.75
    qt
    -0.72
     renegoti
    -0.71
    POSITIVE LOGITS
     Fu
    0.72
     Pow
    0.72
     Owens
    0.71
    baugh
    0.68
     Maid
    0.67
     Muller
    0.67
     Lee
    0.66
     Curry
    0.65
     Xie
    0.64
     Ð
    0.64
    Activations Density 0.000%

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