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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
    11. 17186
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    Explanations

    keywords related to different types of abuses and violations, such as animal welfare, sexual assault, substance abuse, domestic violence, and child cruelty

    oai_token-act-pair · gpt-3.5-turbo

    references to animals and related welfare or health issues

    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
    selves
    -0.80
     Maiden
    -0.75
    HK
    -0.73
    ynt
    -0.71
    nas
    -0.69
    ynthesis
    -0.68
    Reviewer
    -0.67
    IUM
    -0.67
    */(
    -0.64
     guiActiveUnfocused
    -0.63
    POSITIVE LOGITS
    justice
    0.94
    safety
    0.93
    health
    0.92
     prevention
    0.91
    security
    0.89
     wellness
    0.89
    Safety
    0.88
     health
    0.87
     safety
    0.87
     care
    0.86
    Activations Density 0.348%

    No Known Activations