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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. 1-RES-JB
    6. 4014
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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
    âĹı
    -0.70
    uberty
    -0.66
     Mald
    -0.63
    oké
    -0.63
    ossibility
    -0.62
    iii
    -0.62
    arent
    -0.62
     proble
    -0.62
    Synopsis
    -0.61
    eatures
    -0.60
    POSITIVE LOGITS
     certs
    0.80
    IRT
    0.71
     Rx
    0.70
     istg
    0.68
     -->
    0.66
    plane
    0.65
    raints
    0.64
    OTA
    0.63
     Seah
    0.63
    plate
    0.63
    Activations Density 0.000%

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    This feature has no known activations.