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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. 19864
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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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     Competitive
    -0.75
     pandemonium
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     Wolfgang
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     TAG
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     Bridgewater
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    ORTS
    -0.63
     Angus
    -0.62
     play
    -0.62
     Labrador
    -0.62
    ynchronous
    -0.61
    POSITIVE LOGITS
    zin
    0.79
    lyak
    0.74
    WER
    0.73
    xy
    0.69
    idable
    0.69
    isal
    0.68
    root
    0.67
    ech
    0.66
    ______
    0.65
    heon
    0.65
    Activations Density 0.000%

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