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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. 0-RES-JB
    11. 4996
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    hift
    -0.65
    hare
    -0.64
     Verse
    -0.63
    eur
    -0.63
    enting
    -0.62
    à¨
    -0.62
    cest
    -0.62
    è¦
    -0.60
    à©
    -0.60
    BILITY
    -0.60
    POSITIVE LOGITS
     except
    1.12
     dstg
    0.83
    psons
    0.82
    rely
    0.77
    ould
    0.73
    £ı
    0.69
    sembly
    0.69
    alore
    0.68
     including
    0.68
    rha
    0.67
    Activations Density 0.000%

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