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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 6031
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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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    Negative Logits
     IMAGES
    -0.68
    bite
    -0.65
    conom
    -0.64
    iev
    -0.64
     contend
    -0.63
     Cohn
    -0.63
    rower
    -0.61
     tending
    -0.60
     redes
    -0.60
    gall
    -0.60
    POSITIVE LOGITS
    :{
    0.71
    rities
    0.67
    tics
    0.66
    earth
    0.65
    wrapper
    0.65
    :(
    0.64
    redits
    0.61
    ities
    0.60
    yy
    0.59
    itude
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.