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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. 3-RES-JB
    6. 18926
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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
    stocks
    -0.74
    pins
    -0.73
    ãĢij
    -0.66
    eteenth
    -0.66
    ctors
    -0.65
    keyes
    -0.64
     sliding
    -0.64
    vp
    -0.62
    itsu
    -0.60
    erman
    -0.58
    POSITIVE LOGITS
     captivity
    0.71
    nesty
    0.69
     lav
    0.68
    aban
    0.67
     Zub
    0.67
    eln
    0.67
    ratulations
    0.66
    HH
    0.65
    ategory
    0.63
     cran
    0.63
    Activations Density 0.000%

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