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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. 11-RES-JB
    11. 17507
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    Explanations

    words related to vulnerability or susceptibility to various risks or threats

    oai_token-act-pair · gpt-3.5-turbo

    instances of vulnerability across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zos
    -0.77
    owler
    -0.71
    swick
    -0.71
    hower
    -0.66
    riage
    -0.63
    OPA
    -0.63
    mania
    -0.62
    colo
    -0.62
    fare
    -0.61
    oway
    -0.61
    POSITIVE LOGITS
    itiz
    0.87
    ivities
    0.83
    nesses
    0.80
     embr
    0.76
     to
    0.76
     thereto
    0.75
    itized
    0.75
     vulnerable
    0.75
     susceptible
    0.74
    skinned
    0.73
    Activations Density 0.072%

    No Known Activations