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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. 12870
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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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    Negative Logits
    acan
    -0.70
    DragonMagazine
    -0.69
    aeda
    -0.67
     priesthood
    -0.66
     bung
    -0.65
     peppers
    -0.63
    unci
    -0.63
     realization
    -0.62
     vigilante
    -0.62
     dads
    -0.61
    POSITIVE LOGITS
    Cover
    0.80
    Cor
    0.70
    ENTS
    0.69
    chairs
    0.68
    align
    0.68
    TeX
    0.67
    ranean
    0.67
    ESA
    0.66
     Ascension
    0.65
     NEO
    0.64
    Activations Density 0.000%

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