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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. 4-RES-JB
    6. 5250
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    áµ
    -0.70
     Heavenly
    -0.68
    Pokémon
    -0.68
     Generations
    -0.67
     Horizons
    -0.66
     Falling
    -0.65
     Bin
    -0.65
    bies
    -0.65
    natureconservancy
    -0.64
     Fir
    -0.64
    POSITIVE LOGITS
     shut
    0.73
    pless
    0.70
    PG
    0.70
    tiny
    0.70
    yss
    0.69
     Clarkson
    0.68
    TPS
    0.68
    apo
    0.67
     amph
    0.66
    ampunk
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.