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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. 3-RES-JB
    11. 16268
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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
    atical
    -0.75
    ascus
    -0.69
    wagen
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    ascular
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    tsky
    -0.65
     ageing
    -0.65
    ploma
    -0.64
    othal
    -0.64
    Ĥª
    -0.63
     subp
    -0.63
    POSITIVE LOGITS
    iHUD
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     Weinstein
    0.66
    ZI
    0.64
     Purdue
    0.64
     Correctional
    0.62
     McK
    0.62
     Pow
    0.61
    ifier
    0.60
     vs
    0.59
    VC
    0.59
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