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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1623
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to security vulnerabilities and issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oric
    -0.97
    kson
    -0.83
    hes
    -0.79
    ICA
    -0.70
     Kinn
    -0.67
    iton
    -0.65
    shire
    -0.65
    arget
    -0.65
    zl
    -0.64
    inal
    -0.64
    POSITIVE LOGITS
     vulnerabilities
    0.85
     advis
    0.83
     breaches
    0.83
    policy
    0.81
     clearance
    0.80
     flaws
    0.78
     guards
    0.78
     posture
    0.78
     lapse
    0.76
     enforcement
    0.75
    Activations Density 0.022%

    No Known Activations