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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. 7-RES-JB
    11. 19168
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    Explanations

    words related to danger or potential harm

    oai_token-act-pair · gpt-3.5-turbo

    references to dangerous situations or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elle
    -0.77
    ļéĨĴ
    -0.77
    apolis
    -0.76
    roma
    -0.76
    ardo
    -0.75
    guyen
    -0.74
    gdala
    -0.74
    galitarian
    -0.73
    blance
    -0.73
    yard
    -0.71
    POSITIVE LOGITS
     adolesc
    0.83
    nesses
    0.78
     sounding
    0.78
     dangerous
    0.76
     endanger
    0.76
     threats
    0.75
     combination
    0.74
     substances
    0.73
     dangers
    0.72
     danger
    0.72
    Activations Density 0.042%

    No Known Activations