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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. 1-RES-JB
    11. 6521
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     greet
    -0.73
     Merchants
    -0.72
     fronts
    -0.70
     knock
    -0.69
     pse
    -0.67
     compl
    -0.66
     hypot
    -0.66
    userc
    -0.66
     brew
    -0.66
    ĺħ
    -0.65
    POSITIVE LOGITS
     Colour
    0.85
    Ocean
    0.81
    ulet
    0.77
     Sea
    0.77
    Camp
    0.71
    GO
    0.71
    LESS
    0.69
    mite
    0.69
    ester
    0.68
    soDeliveryDate
    0.67
    Activations Density 0.000%

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