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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. 3-RES-JB
    11. 1724
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    metry
    -0.79
    DAQ
    -0.72
     Bridges
    -0.69
     Strategies
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     lines
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     occupations
    -0.62
    opathy
    -0.61
    ptive
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     Canaver
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    WATCH
    -0.59
    POSITIVE LOGITS
     Zeit
    0.73
    iny
    0.69
    ipation
    0.68
    inness
    0.67
    pire
    0.66
    oubted
    0.65
    ainted
    0.64
    wig
    0.64
    miah
    0.63
    cookie
    0.63
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