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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. 1859
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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
     Canaveral
    -0.75
     FCC
    -0.72
     Shooter
    -0.68
     Stras
    -0.65
     Caller
    -0.64
     Launcher
    -0.64
     Rounds
    -0.62
     Directions
    -0.62
     Nev
    -0.61
     Emb
    -0.61
    POSITIVE LOGITS
    ulty
    0.76
    llah
    0.72
    oral
    0.72
    eton
    0.71
    atical
    0.69
    oren
    0.69
    İĭ
    0.68
    ayne
    0.67
    sed
    0.66
    reditary
    0.65
    Activations Density 0.000%

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