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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. 3-RES-JB
    11. 24395
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    Explanations

    words related to threats or risks to safety

    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 @ 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
    eenth
    -0.90
    ergy
    -0.81
    olitan
    -0.79
    rative
    -0.74
    states
    -0.73
    rix
    -0.71
    ainers
    -0.70
    glas
    -0.69
    rik
    -0.68
    char
    -0.67
    POSITIVE LOGITS
     Danger
    1.07
     endanger
    1.01
     danger
    0.99
    ously
    0.90
    danger
    0.89
    lessly
    0.89
     lur
    0.84
     undermin
    0.83
     lurking
    0.82
    cffff
    0.82
    Activations Density 0.012%

    No Known Activations