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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. 7922
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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
     retention
    -0.71
     disposal
    -0.69
     Regulation
    -0.68
     Cot
    -0.64
     quot
    -0.63
     calculus
    -0.63
    odium
    -0.63
    uyomi
    -0.62
     authent
    -0.62
     deletion
    -0.61
    POSITIVE LOGITS
    884
    0.74
    isms
    0.73
    825
    0.71
    aws
    0.70
    2500
    0.69
    8000
    0.69
    940
    0.68
    915
    0.68
    ORTS
    0.68
    ships
    0.68
    Activations Density 0.000%

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