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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. 4-RES-JB
    11. 12559
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Parallel
    -0.75
     Cellular
    -0.69
    aukee
    -0.69
     Parkway
    -0.68
    iano
    -0.68
     Trails
    -0.66
     Unlimited
    -0.64
     Wildcats
    -0.62
     Fusion
    -0.62
     Birds
    -0.62
    POSITIVE LOGITS
     blame
    0.68
    medi
    0.67
    izabeth
    0.66
    LAB
    0.64
    lvl
    0.63
    olerance
    0.63
    fall
    0.63
    encies
    0.62
    ushima
    0.61
    imately
    0.61
    Activations Density 0.000%

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