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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. 6-RES-JB
    11. 10857
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    Explanations

    words related to vulnerability or susceptibility

    oai_token-act-pair · gpt-3.5-turbo

    references to populations or entities that are susceptible to harm or danger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Collider
    -0.78
    zos
    -0.77
    inth
    -0.67
    hire
    -0.67
    oret
    -0.65
    OTO
    -0.65
    ript
    -0.64
    aster
    -0.64
    ateur
    -0.64
    ALSE
    -0.63
    POSITIVE LOGITS
     vulnerable
    1.02
     vulner
    0.92
     adolesc
    0.83
     vulnerability
    0.83
    ulnerable
    0.79
     vulnerabilities
    0.79
     victims
    0.72
     bystanders
    0.72
     weaknesses
    0.72
     tenants
    0.71
    Activations Density 0.024%

    No Known Activations