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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. 6656
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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
     Kore
    -0.69
     tremend
    -0.68
     athe
    -0.67
    å¦
    -0.67
    thus
    -0.65
    Luke
    -0.65
     trusts
    -0.64
    arist
    -0.64
     disqual
    -0.63
     Constantine
    -0.63
    POSITIVE LOGITS
    itized
    0.78
    rition
    0.71
     Pricing
    0.70
    INTON
    0.69
    gress
    0.69
    gewater
    0.69
    inventoryQuantity
    0.68
    melon
    0.67
    bernatorial
    0.66
    icut
    0.64
    Activations Density 0.000%

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