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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. 1-RES-JB
    11. 9448
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    INDEX
    Explanations

    mentions of the term "millennials"

    oai_token-act-pair · gpt-3.5-turbo

    references to millennials and their characteristics or behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NEY
    -0.66
    pmwiki
    -0.66
    emed
    -0.64
    iasis
    -0.63
    bid
    -0.62
     disse
    -0.62
    etr
    -0.61
     Shib
    -0.61
    biz
    -0.61
    auna
    -0.61
    POSITIVE LOGITS
     millennials
    1.12
     millennial
    0.97
     Millennials
    0.94
     Millenn
    0.83
     generation
    0.79
     delinqu
    0.77
     adulthood
    0.76
    Mill
    0.73
    uates
    0.69
     turnout
    0.69
    Activations Density 0.008%

    No Known Activations