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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. 570
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    INDEX
    Explanations

    phrases related to sports series or competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports series, particularly in the context of playoffs or competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    ryn
    -0.84
    eous
    -0.77
    lish
    -0.76
    esy
    -0.73
    zie
    -0.73
    ster
    -0.72
    nai
    -0.71
    artisan
    -0.70
    azon
    -0.69
    cult
    -0.69
    POSITIVE LOGITS
     opener
    0.80
    manship
    0.79
     finale
    0.78
    hews
    0.73
    ãĥĺ
    0.72
     playoffs
    0.72
     MVP
    0.71
     playoff
    0.71
     games
    0.71
     Playoffs
    0.71
    Activations Density 0.014%

    No Known Activations