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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. 11-RES-JB
    11. 5302
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    Explanations

    phrases containing the word "dangerous" and associated nouns or descriptors in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to dangerous situations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thank
    -0.80
    issance
    -0.73
    pel
    -0.72
    guyen
    -0.71
    hew
    -0.70
    orthy
    -0.69
    ļéĨĴ
    -0.69
    arest
    -0.68
    ucket
    -0.67
    rie
    -0.66
    POSITIVE LOGITS
    danger
    0.91
     situations
    0.89
     endanger
    0.83
     dangers
    0.82
     dangerous
    0.82
     substances
    0.81
     pathogens
    0.79
     slope
    0.79
     fumes
    0.78
     hazards
    0.78
    Activations Density 0.073%

    No Known Activations