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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. 13236
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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
     generator
    -0.79
     generators
    -0.69
    MIC
    -0.68
    greg
    -0.66
    agog
    -0.66
    minster
    -0.65
    ordinate
    -0.65
    Fram
    -0.65
    ãĤ´
    -0.64
    Born
    -0.64
    POSITIVE LOGITS
    zbollah
    0.93
     CES
    0.75
    ÄŁ
    0.74
     Qiao
    0.72
    ourgeois
    0.71
     redes
    0.70
    udeb
    0.68
     Brune
    0.67
    assic
    0.67
     adolesc
    0.67
    Activations Density 0.000%

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