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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 22997
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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
     Sight
    -0.76
    oster
    -0.69
    Ïī
    -0.67
     Prospect
    -0.66
     collector
    -0.63
     Countdown
    -0.63
     liner
    -0.62
     IMAGES
    -0.58
    matic
    -0.58
    icter
    -0.58
    POSITIVE LOGITS
    ãĥį
    0.76
    apo
    0.76
    urb
    0.69
    unin
    0.67
    course
    0.66
    uph
    0.66
    URA
    0.66
    meet
    0.64
    ipal
    0.63
    romeda
    0.61
    Activations Density 0.000%

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