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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. 10-RES-JB
    11. 13927
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    Explanations

    words related to danger or threats

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to various forms of risk or danger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    elf
    -0.65
    MQ
    -0.64
     actionGroup
    -0.61
    ovy
    -0.61
    zos
    -0.60
    chet
    -0.60
    olon
    -0.60
    ILA
    -0.58
     oun
    -0.58
    olver
    -0.56
    POSITIVE LOGITS
     financially
    0.88
     of
    0.78
    angering
    0.77
     because
    0.73
    bh
    0.71
     lest
    0.69
     posed
    0.69
     unless
    0.66
     endanger
    0.65
     from
    0.65
    Activations Density 0.065%

    No Known Activations