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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. 17412
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    INDEX
    Explanations
    No Explanations Found
    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
    asio
    -0.79
    ciating
    -0.75
    ense
    -0.67
    ī
    -0.66
    ogn
    -0.66
    Ĥ
    -0.61
    arning
    -0.61
    eah
    -0.61
    ody
    -0.60
    eyes
    -0.60
    POSITIVE LOGITS
     Tsukuyomi
    0.77
     Mechdragon
    0.72
     tabl
    0.71
     tabloid
    0.67
    plin
    0.65
     Banner
    0.65
    Frames
    0.63
    Synopsis
    0.62
     DRAG
    0.61
    seless
    0.61
    Activations Density 0.000%

    No Known Activations

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