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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. 2-RES-JB
    11. 15731
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    Explanations

    terms related to potential harm or threat

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of danger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ergy
    -0.78
    eenth
    -0.77
    ann
    -0.76
    Ķ
    -0.73
    olitan
    -0.70
    option
    -0.70
    rix
    -0.68
    char
    -0.68
    rative
    -0.67
    glas
    -0.66
    POSITIVE LOGITS
     Danger
    1.13
     danger
    1.12
     endanger
    1.03
    lessly
    0.91
    danger
    0.90
     peril
    0.89
     undermin
    0.87
     menace
    0.87
     lurking
    0.84
    ously
    0.83
    Activations Density 0.009%

    No Known Activations