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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. 6-RES-JB
    11. 17505
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    Explanations

    terms related to danger or warnings of potential harm

    oai_token-act-pair · gpt-3.5-turbo

    mentions of danger or risks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ergy
    -0.81
    olitan
    -0.79
    issance
    -0.75
    orney
    -0.73
    owned
    -0.73
    eenth
    -0.69
    states
    -0.69
    atters
    -0.69
    Ħ¢
    -0.68
    anmar
    -0.68
    POSITIVE LOGITS
     Danger
    0.93
     endanger
    0.90
    ously
    0.87
     lurking
    0.86
     lur
    0.85
    danger
    0.85
    mong
    0.81
    lessly
    0.80
    crow
    0.79
     danger
    0.78
    Activations Density 0.024%

    No Known Activations