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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. 657
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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
    Reviewer
    -0.76
     blur
    -0.69
     Wem
    -0.67
    elsen
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    Loading
    -0.65
     Tinker
    -0.65
     Ey
    -0.63
     (_
    -0.63
     Lauder
    -0.63
    Vision
    -0.63
    POSITIVE LOGITS
    hent
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     economical
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    arers
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    agra
    0.65
    past
    0.64
    ological
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     insured
    0.64
    organic
    0.63
    cients
    0.63
    urgical
    0.63
    Activations Density 0.000%

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