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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. 12012
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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
    ĸļ
    -0.65
    BACK
    -0.60
     seiz
    -0.58
    NSA
    -0.58
    okemon
    -0.57
    idia
    -0.57
    backer
    -0.56
    headed
    -0.56
     Bigfoot
    -0.56
    OSED
    -0.55
    POSITIVE LOGITS
    alde
    0.72
    ourt
    0.69
    lde
    0.68
     elector
    0.67
    uld
    0.66
    rule
    0.65
    xit
    0.65
    erate
    0.64
    taboola
    0.64
     dy
    0.64
    Activations Density 0.000%

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