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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. 3-RES-JB
    6. 22250
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Read
    -0.70
     Possible
    -0.70
     Shutterstock
    -0.68
     READ
    -0.68
    reads
    -0.68
     Outlook
    -0.67
    boats
    -0.66
     Grind
    -0.65
     INF
    -0.63
     Vessel
    -0.61
    POSITIVE LOGITS
    ersive
    0.84
    TPP
    0.81
    aca
    0.79
    nesday
    0.75
    EStreamFrame
    0.74
    apon
    0.74
    adia
    0.72
    antam
    0.72
    ciating
    0.72
    rica
    0.71
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.