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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. 9-RES-JB
    6. 15274
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    Explanations

    terms related to protection or defense against various threats

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to protection or safeguarding against various threats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppa
    -0.82
    ynes
    -0.80
    ftime
    -0.78
    ICLE
    -0.72
    lator
    -0.70
    pause
    -0.69
    lishes
    -0.69
     Introduced
    -0.69
    ruary
    -0.68
    cube
    -0.67
    POSITIVE LOGITS
     harm
    1.06
     future
    1.00
     impending
    0.98
     intrusion
    0.94
     deterioration
    0.93
     dangers
    0.93
     predators
    0.92
     adverse
    0.92
     erosion
    0.92
     unwelcome
    0.91
    Activations Density 0.108%

    No Known Activations