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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. 4-RES-JB
    11. 9522
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    Explanations

    mentions of elderly individuals or issues related to them

    oai_token-act-pair · gpt-3.5-turbo

    references to elderly individuals or the elderly population in various contexts

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

    No Comments

    Negative Logits
    xtap
    -0.78
    mie
    -0.70
    vous
    -0.68
    Ô
    -0.67
    soDeliveryDate
    -0.67
    ãĥķãĤ©
    -0.66
    pheus
    -0.66
    displayText
    -0.66
    rawdownloadcloneembedreportprint
    -0.65
    ombs
    -0.65
    POSITIVE LOGITS
     dementia
    0.93
     pension
    0.83
     retirees
    0.79
     widow
    0.75
     citiz
    0.73
    men
    0.72
     elderly
    0.72
     gentleman
    0.70
    uct
    0.70
     ageing
    0.69
    Activations Density 0.017%

    No Known Activations