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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. 2600
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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
    ļé
    -0.71
    Kh
    -0.68
    brook
    -0.67
     namely
    -0.65
    ļ
    -0.63
    brace
    -0.63
     Deaths
    -0.62
    fell
    -0.61
    Eth
    -0.60
    stars
    -0.60
    POSITIVE LOGITS
    unction
    0.80
    hani
    0.72
    tein
    0.71
    alion
    0.71
    apter
    0.70
    iflower
    0.69
     observer
    0.68
    lain
    0.68
    ainment
    0.65
     comprehension
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.