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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. 4-RES-JB
    11. 11444
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    references to safety and security

    oai_token-act-pair · gpt-3.5-turbo

    references to safety and safe practices

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

    No Comments

    Negative Logits
    lez
    -0.86
    xual
    -0.78
    Lenin
    -0.73
    axies
    -0.72
    govtrack
    -0.72
     guiActiveUnfocused
    -0.70
    erent
    -0.70
     dominate
    -0.69
    famous
    -0.68
    yss
    -0.66
    POSITIVE LOGITS
     safe
    0.76
    ounters
    0.73
    Safety
    0.68
     safely
    0.66
    safe
    0.64
    iland
    0.64
     contaminants
    0.64
    Reviewer
    0.64
     Safe
    0.63
     precautions
    0.61
    Activations Density 0.219%

    No Known Activations