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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. 0-RES-JB
    11. 11584
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    Explanations

    references to vulnerability or potential threats

    oai_token-act-pair · gpt-3.5-turbo

    terms related to vulnerability, especially in various contexts affecting individuals or systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Astron
    -0.76
     Brus
    -0.75
    itone
    -0.69
    ML
    -0.64
    wcsstore
    -0.63
    inav
    -0.62
     Cig
    -0.61
    fan
    -0.61
    Fan
    -0.61
     Chronicles
    -0.60
    POSITIVE LOGITS
     vulnerable
    3.63
    ulnerable
    2.21
     susceptible
    2.13
     vulnerability
    1.92
     vulnerabilities
    1.70
     fragile
    1.70
     insecure
    1.67
     disadvantaged
    1.60
     vulner
    1.51
     unprotected
    1.46
    Activations Density 0.020%

    No Known Activations