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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. 0-RES-JB
    6. 1789
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    INDEX
    Explanations
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    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
    ÄŁ
    -0.64
    Weiss
    -0.64
     Mercer
    -0.63
    ãĥĥãĤ¯
    -0.62
    =-=-=-=-=-=-=-=-
    -0.61
     Uriel
    -0.61
     HRC
    -0.61
    FACE
    -0.60
    ãĤ½
    -0.60
     Hait
    -0.59
    POSITIVE LOGITS
    nesota
    0.85
    ynchronous
    0.85
    rontal
    0.79
    oday
    0.75
    adelphia
    0.73
    raid
    0.72
    Downloadha
    0.72
    ighters
    0.69
    tsy
    0.68
    £ı
    0.67
    Activations Density 0.000%

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