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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 11256
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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
    Corp
    -0.78
    MET
    -0.70
     Emer
    -0.69
     Madness
    -0.68
    ochet
    -0.67
    Cod
    -0.67
     Wire
    -0.67
    Paper
    -0.66
    Woman
    -0.65
    Psy
    -0.65
    POSITIVE LOGITS
    olars
    0.75
    isite
    0.67
    rss
    0.64
    imentary
    0.64
    eeds
    0.63
    erd
    0.62
     redes
    0.62
    ghan
    0.62
    ricanes
    0.61
    argo
    0.61
    Activations Density 0.000%

    No Known Activations

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