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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. 18082
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    INDEX
    Explanations
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    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
    nce
    -0.75
     contrad
    -0.62
    lov
    -0.60
    soDeliveryDate
    -0.60
     bulls
    -0.58
     mum
    -0.57
    hidden
    -0.56
     detrim
    -0.56
     Bris
    -0.55
     unfinished
    -0.54
    POSITIVE LOGITS
    adoes
    0.80
    edes
    0.79
    hes
    0.77
    abama
    0.71
    hers
    0.69
    hens
    0.68
    Contribut
    0.67
    idents
    0.67
    ãĥ¢
    0.65
    sch
    0.64
    Activations Density 0.000%

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