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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. 7-RES-JB
    11. 17243
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    Explanations

    references to elderly individuals, particularly in relation to social welfare and care

    oai_token-act-pair · gpt-3.5-turbo

    references to elderly individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.84
    displayText
    -0.74
     Flavoring
    -0.73
    orious
    -0.72
    soDeliveryDate
    -0.72
    vous
    -0.71
    othal
    -0.70
    arty
    -0.70
    orie
    -0.69
    ãĤ´ãĥ³
    -0.69
    POSITIVE LOGITS
     dementia
    0.92
     pension
    0.76
     widow
    0.74
     gentleman
    0.71
     care
    0.70
     Alzheimer
    0.69
    fol
    0.69
     ward
    0.68
    men
    0.68
     grandmother
    0.67
    Activations Density 0.025%

    No Known Activations