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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. 2-RES-JB
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    Explanations

    mentions of the term "millennials."

    oai_token-act-pair · gpt-3.5-turbo

    references to the millennial generation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NEY
    -0.74
     disse
    -0.69
    spe
    -0.69
    fman
    -0.67
    etr
    -0.64
    yer
    -0.64
    ãĤ·ãĥ£
    -0.63
    sem
    -0.63
    emed
    -0.62
    Clar
    -0.62
    POSITIVE LOGITS
     Millennials
    1.04
     millennials
    0.95
     Millenn
    0.86
     millennial
    0.85
     generation
    0.81
     adulthood
    0.81
     delinqu
    0.80
    uates
    0.76
    imet
    0.73
    ennial
    0.71
    Activations Density 0.011%

    No Known Activations