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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
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    Explanations

    references to the millennial generation

    oai_token-act-pair · gpt-3.5-turbo

    references to the millennial demographic

    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
    NEY
    -0.72
    ãĤ·ãĥ£
    -0.70
    etr
    -0.66
    pmwiki
    -0.66
    sem
    -0.64
    fman
    -0.63
     redacted
    -0.62
    geon
    -0.62
     disse
    -0.61
    iasis
    -0.60
    POSITIVE LOGITS
     millennials
    1.02
     Millennials
    0.92
     adulthood
    0.85
     millennial
    0.83
     generation
    0.81
     Millenn
    0.80
     delinqu
    0.78
    uates
    0.70
     turnout
    0.69
    imet
    0.69
    Activations Density 0.017%

    No Known Activations