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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. 2341
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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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    No Comments

    Negative Logits
     Gathering
    -0.83
    åij
    -0.76
    OTHER
    -0.75
    大
    -0.73
    ãĥª
    -0.72
    ãĤ¼
    -0.72
    CHAPTER
    -0.71
    NetMessage
    -0.70
    ãĤ³
    -0.69
    Dispatch
    -0.68
    POSITIVE LOGITS
    atis
    0.80
    rio
    0.68
     feasibility
    0.68
    payers
    0.65
    ccoli
    0.65
     payable
    0.64
     showc
    0.64
    rage
    0.63
     warranties
    0.63
    igate
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.