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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. 20015
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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
     Destination
    -0.71
     targ
    -0.65
     prompt
    -0.65
     spark
    -0.64
     hostages
    -0.63
    uers
    -0.62
     staging
    -0.62
     aggress
    -0.61
     creditors
    -0.61
    ups
    -0.60
    POSITIVE LOGITS
    thia
    0.89
    hedral
    0.81
    ãĥ´ãĤ¡
    0.80
    âĸ¬âĸ¬
    0.78
    thur
    0.74
    stros
    0.74
    hee
    0.73
    SHIP
    0.73
    gdala
    0.73
    IRE
    0.72
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.