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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. 3-RES-JB
    6. 10111
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    INDEX
    Explanations

    phrases or words related to unsafe situations or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to safety and the concept of being unsafe

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orah
    -0.85
    cence
    -0.84
    phasis
    -0.81
    ership
    -0.80
    braska
    -0.80
    bernatorial
    -0.80
    gdala
    -0.80
    ophers
    -0.80
    zzo
    -0.80
    thood
    -0.76
    POSITIVE LOGITS
     unsafe
    1.04
     adolesc
    0.78
    nesses
    0.72
     unle
    0.67
    NESS
    0.67
     hazardous
    0.66
    ÃįÃį
    0.62
     Ukrain
    0.62
     unhealthy
    0.61
    IED
    0.60
    Activations Density 0.016%

    No Known Activations