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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. 17018
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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
    qus
    -0.74
    oland
    -0.73
    ippy
    -0.71
    icons
    -0.67
    JC
    -0.65
    istar
    -0.65
    eco
    -0.65
    ignt
    -0.64
    ibo
    -0.63
    bourg
    -0.63
    POSITIVE LOGITS
    lower
    0.64
    ument
    0.63
     baths
    0.62
    estine
    0.62
    ']
    0.61
    ftime
    0.59
     promotion
    0.59
     sucker
    0.59
    Season
    0.56
    itudinal
    0.56
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.