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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. 0-RES-JB
    6. 17233
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Oaks
    -0.89
    Gas
    -0.74
     bowls
    -0.68
     dispatcher
    -0.67
     baskets
    -0.63
     Sandy
    -0.62
     eclipse
    -0.62
    athi
    -0.61
     observer
    -0.59
     Anita
    -0.59
    POSITIVE LOGITS
    GY
    0.76
    today
    0.71
     ..........
    0.67
    Goal
    0.66
    fighters
    0.66
    =~
    0.66
    chance
    0.65
    reme
    0.65
     ðŁ
    0.64
    ça
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.