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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. 13364
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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
    orth
    -0.77
    ande
    -0.77
    rape
    -0.69
    ration
    -0.66
    onnaissance
    -0.65
    wcs
    -0.65
    violence
    -0.63
    seq
    -0.63
    inement
    -0.62
    respect
    -0.61
    POSITIVE LOGITS
    ucc
    0.83
    phabet
    0.74
    edin
    0.73
     Cosponsors
    0.72
    utenberg
    0.68
     multipl
    0.67
     Pric
    0.67
     Musk
    0.67
     salts
    0.66
     Kop
    0.65
    Activations Density 0.000%

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