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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. 1-RES-JB
    11. 2721
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    Explanations

    terms related to neglect or negligence

    oai_token-act-pair · gpt-3.5-turbo

    mentions of neglect or negligence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.83
    atable
    -0.73
    ozo
    -0.72
    cers
    -0.72
    reens
    -0.70
    =-=-=-=-
    -0.70
    assies
    -0.68
    ereo
    -0.67
    Phones
    -0.66
    resso
    -0.65
    POSITIVE LOGITS
     neglect
    1.13
     neglected
    0.99
    lessly
    0.79
     miser
    0.78
    é¾įå
    0.78
    bilt
    0.77
    shire
    0.76
    ãģª
    0.74
    fully
    0.73
    azard
    0.72
    Activations Density 0.013%

    No Known Activations