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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. 1-RES-JB
    11. 7653
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    CRIP
    -0.76
    itives
    -0.75
     pestic
    -0.72
    jobs
    -0.71
    gradation
    -0.70
    iven
    -0.69
    natureconservancy
    -0.66
     coerc
    -0.65
    ometimes
    -0.65
     firsthand
    -0.65
    POSITIVE LOGITS
     Richmond
    0.66
     course
    0.66
     Palest
    0.63
     possibly
    0.63
     Townsend
    0.61
    wich
    0.60
     Vill
    0.60
     Parliament
    0.60
     Vanderbilt
    0.58
     Murray
    0.58
    Activations Density 0.000%

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