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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. 3-RES-JB
    11. 6478
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    Explanations

    words related to abusive and harmful actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with abusive and predatory behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zig
    -0.95
    hran
    -0.89
    geist
    -0.85
    yi
    -0.81
    ÃŁ
    -0.79
    acht
    -0.77
    hor
    -0.77
    ijk
    -0.76
    hof
    -0.76
    hardt
    -0.75
    POSITIVE LOGITS
     abusive
    0.85
     payday
    0.84
     predators
    0.82
     behav
    0.82
     abusers
    0.81
     predatory
    0.73
     abuser
    0.73
     eleph
    0.73
     lenders
    0.72
     councill
    0.72
    Activations Density 0.023%

    No Known Activations