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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. 13486
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    INDEX
    Explanations

    references to potential or up-and-coming individuals, particularly in the context of sports or other competitive fields

    oai_token-act-pair · gpt-3.5-turbo

    mentions of potential future talent or opportunities in various contexts

    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
    nee
    -0.75
    xon
    -0.74
    nery
    -0.73
    amed
    -0.72
    othing
    -0.72
    wealth
    -0.71
    geon
    -0.69
    ge
    -0.69
    isle
    -0.68
    ipper
    -0.66
    POSITIVE LOGITS
     prospects
    1.46
     prospect
    1.03
     Prospect
    0.88
     futures
    0.87
     horizon
    0.78
    paren
    0.78
     hopeful
    0.74
     promot
    0.74
    atility
    0.74
     resume
    0.73
    Activations Density 0.009%

    No Known Activations