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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. 17095
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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
    Negative Logits
     Canterbury
    -0.78
    lier
    -0.76
    Brain
    -0.73
    liest
    -0.65
     Lazarus
    -0.64
    Syn
    -0.64
     Brook
    -0.63
    LP
    -0.62
     Midlands
    -0.62
    loss
    -0.60
    POSITIVE LOGITS
    ug
    0.83
    20439
    0.77
    isher
    0.74
    ighed
    0.72
    ieth
    0.69
     Uniform
    0.67
    uthor
    0.66
    oving
    0.66
    essler
    0.66
    unn
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.