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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. 10-RES-JB
    11. 12306
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    Explanations

    number patterns, potentially related to sports statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations associated with sports events or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     commod
    -0.70
     fung
    -0.65
    lav
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     unrestricted
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    pora
    -0.62
     vic
    -0.61
    pheus
    -0.61
     immedi
    -0.60
    cens
    -0.58
    phia
    -0.57
    POSITIVE LOGITS
     MMA
    0.89
     BOX
    0.77
     LW
    0.76
    KO
    0.75
    )",
    0.70
     Nanto
    0.69
     KO
    0.69
    NRS
    0.68
    BF
    0.68
     Ratings
    0.67
    Activations Density 0.051%

    No Known Activations