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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. 18992
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    Explanations

    phrases related to violent or harmful actions

    oai_token-act-pair · gpt-3.5-turbo

    references to violence and atrocities

    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
    ellar
    -0.84
    cius
    -0.80
     facult
    -0.78
    paren
    -0.78
    isphere
    -0.71
    ria
    -0.71
    oard
    -0.69
     workspace
    -0.69
     latitude
    -0.68
    orers
    -0.68
    POSITIVE LOGITS
     inflicted
    1.00
     havoc
    0.88
     Slaughter
    0.80
     devastation
    0.78
     rampage
    0.78
     blows
    0.78
     spree
    0.76
    à¨
    0.74
     Mum
    0.71
    soever
    0.70
    Activations Density 0.149%

    No Known Activations