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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. 14242
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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
    Not in Any Lists

    No Comments

    Negative Logits
     therap
    -0.75
    ICLE
    -0.75
    assis
    -0.73
    ULAR
    -0.71
    achev
    -0.70
     imagination
    -0.70
     handwriting
    -0.69
    redo
    -0.68
    antine
    -0.68
    audi
    -0.67
    POSITIVE LOGITS
    uristic
    0.72
    nces
    0.72
     Reg
    0.70
     approx
    0.65
    ights
    0.64
    ãĤ£
    0.62
     patches
    0.61
    oji
    0.60
     gel
    0.60
    lessly
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.