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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. 4-RES-JB
    6. 22810
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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
    oyle
    -0.68
    instead
    -0.63
     combustion
    -0.63
    Otherwise
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    bard
    -0.62
    Capital
    -0.61
    duc
    -0.61
     interchange
    -0.59
    Raw
    -0.59
    hani
    -0.57
    POSITIVE LOGITS
     Zin
    0.76
    ibaba
    0.72
     Samoa
    0.71
     Ys
    0.67
    assic
    0.66
     Gleaming
    0.66
    miah
    0.65
     Loren
    0.64
    thood
    0.64
    ĸļ
    0.64
    Activations Density 0.000%

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