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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. 11400
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    INDEX
    Explanations
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    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
     telesc
    -0.71
    åħī
    -0.70
     purchaser
    -0.69
     exponent
    -0.68
     shroud
    -0.68
     expended
    -0.65
     momentum
    -0.65
     accum
    -0.64
    ocry
    -0.64
     decimal
    -0.64
    POSITIVE LOGITS
     Tucker
    0.78
    avorite
    0.72
    chan
    0.69
     Jol
    0.68
    auna
    0.68
    edited
    0.68
    ILY
    0.67
     Wee
    0.67
    EEE
    0.67
    ansson
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.