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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. 9-RES-JB
    11. 18127
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    INDEX
    Explanations

    demographic variables such as age, race/ethnicity, sex, and income

    oai_token-act-pair · gpt-3.5-turbo

    references to demographic factors such as race, ethnicity, age, and sex

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    annon
    -0.72
    eln
    -0.68
    unn
    -0.68
    cour
    -0.66
    lynn
    -0.64
    ertodd
    -0.64
    perse
    -0.63
     Canaver
    -0.63
    inka
    -0.62
    geries
    -0.61
    POSITIVE LOGITS
     affiliation
    0.99
     preferences
    0.92
     preference
    0.92
     nationality
    0.85
     origin
    0.81
     Rarity
    0.79
     level
    0.78
     type
    0.78
     ZIP
    0.78
     characteristics
    0.78
    Activations Density 0.256%

    No Known Activations