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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. 3583
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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
     Frie
    -0.72
    idav
    -0.70
    ono
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    idal
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    apist
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    oped
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    ibur
    -0.65
    visible
    -0.65
    mone
    -0.64
    icultural
    -0.64
    POSITIVE LOGITS
    TON
    0.76
     Ended
    0.72
    JUST
    0.68
    äºĶ
    0.62
    RAW
    0.61
    plot
    0.61
    jad
    0.61
    MENTS
    0.60
    soever
    0.60
     UTC
    0.60
    Activations Density 0.000%

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