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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 13189
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    INDEX
    Explanations
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    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
     XY
    -0.69
    imus
    -0.67
    cius
    -0.64
     uncom
    -0.60
     orbiting
    -0.60
     BIT
    -0.59
     Mund
    -0.58
     mund
    -0.58
    idian
    -0.58
    staking
    -0.58
    POSITIVE LOGITS
     Seym
    0.76
    raint
    0.71
    naire
    0.69
    oire
    0.69
    eful
    0.67
    gallery
    0.66
    raq
    0.65
    cussion
    0.65
    gha
    0.65
     Hamm
    0.64
    Activations Density 0.000%

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