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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. 1806
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    Explanations

    reference to user profiles, including details like date of joining, location, number of posts, and last edit

    oai_token-act-pair · gpt-3.5-turbo

    geographical and demographic data within text

    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
    endum
    -0.84
     largeDownload
    -0.73
    soDeliveryDate
    -0.72
    rette
    -0.70
    ONSORED
    -0.69
     formula
    -0.66
    ibliography
    -0.64
    Footnote
    -0.64
     appendix
    -0.63
     exceptions
    -0.63
    POSITIVE LOGITS
     Posts
    1.25
    Posts
    0.92
     Moder
    0.83
    Joined
    0.77
     Starcraft
    0.74
    ãĥİ
    0.69
     Gaming
    0.68
     Admin
    0.67
     GMT
    0.67
     eSports
    0.66
    Activations Density 0.031%

    No Known Activations