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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
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    Explanations

    ages and age-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to age groups, particularly those under 18 and other specific age ranges

    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
    atl
    -0.77
     Wast
    -0.70
    Translation
    -0.66
    DragonMagazine
    -0.66
    \/\/
    -0.66
     Eff
    -0.66
    Tact
    -0.65
    FUL
    -0.63
    sequ
    -0.62
    LESS
    -0.62
    POSITIVE LOGITS
     ages
    0.96
     age
    0.91
     alike
    0.81
     unmarried
    0.79
     sexes
    0.79
    xual
    0.79
     respectively
    0.78
     inclusive
    0.77
     enrolled
    0.77
     who
    0.77
    Activations Density 0.131%

    No Known Activations