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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. 0-RES-JB
    11. 15555
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.81
    ãĥĨãĤ£
    -0.80
     Bahá
    -0.79
     Sapp
    -0.78
    reference
    -0.76
    LOCK
    -0.72
    AFTA
    -0.72
    ãĤ§
    -0.71
    STAR
    -0.70
    ãĥī
    -0.70
    POSITIVE LOGITS
    wcs
    0.66
    oter
    0.64
    aul
    0.63
     Downs
    0.63
    breeding
    0.63
     budgets
    0.62
     bills
    0.61
     losses
    0.60
    adium
    0.60
     roads
    0.60
    Activations Density 0.000%

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