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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. 6-RES-JB
    11. 10750
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    numerical statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Borders
    -0.67
     Carbuncle
    -0.65
    arters
    -0.65
    lined
    -0.65
    ayn
    -0.64
    ledged
    -0.63
    emetery
    -0.62
    Async
    -0.60
    eland
    -0.60
    uthor
    -0.60
    POSITIVE LOGITS
     per
    0.77
    natureconservancy
    0.74
     apiece
    0.73
    Enlarge
    0.68
     percentile
    0.67
     degrees
    0.64
     bathing
    0.62
     deviation
    0.62
    Downloadha
    0.61
     fram
    0.60
    Activations Density 0.162%

    No Known Activations