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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. 8139
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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
    bnb
    -0.69
    adia
    -0.69
     Architects
    -0.69
    hiro
    -0.66
    beard
    -0.66
    oulos
    -0.65
    ogi
    -0.64
     Airlines
    -0.64
    awaru
    -0.63
    arnaev
    -0.63
    POSITIVE LOGITS
    KT
    0.64
    Church
    0.63
    Station
    0.62
    acular
    0.62
     Clement
    0.61
    Main
    0.61
    upper
    0.61
    plant
    0.59
     recip
    0.58
    ר
    0.58
    Activations Density 0.000%

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