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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. 1-RES-JB
    11. 21582
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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
    pract
    -0.76
    pee
    -0.76
     Patton
    -0.69
     torrent
    -0.66
     advancing
    -0.65
    Nap
    -0.64
    appropri
    -0.64
     sensing
    -0.64
    ller
    -0.64
    cial
    -0.64
    POSITIVE LOGITS
    catentry
    0.87
     guiActiveUnfocused
    0.81
    wcsstore
    0.79
     ($)
    0.75
    foundland
    0.73
    ãĤ©
    0.70
    mingham
    0.69
     fixme
    0.68
     Eggs
    0.67
     attRot
    0.66
    Activations Density 0.000%

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