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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. 7166
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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
    ensional
    -0.77
     Mehran
    -0.73
    ochet
    -0.71
    ulkan
    -0.71
    endor
    -0.70
    ocrates
    -0.68
    zhen
    -0.67
    nan
    -0.66
     Doodle
    -0.66
    ilic
    -0.65
    POSITIVE LOGITS
     respons
    0.84
    }}}
    0.75
    ↵Âł
    0.72
     sshd
    0.62
     absor
    0.61
    Reviewer
    0.60
     largeDownload
    0.60
     migraine
    0.60
     cuff
    0.60
     tracts
    0.59
    Activations Density 0.000%

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