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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. 1838
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    Explanations

    phrases related to potential risks or dangers

    oai_token-act-pair · gpt-3.5-turbo

    references 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 @ 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
    ovy
    -0.69
    olon
    -0.65
    elf
    -0.63
    odore
    -0.62
     corrid
    -0.62
    olver
    -0.62
     oun
    -0.60
     clenched
    -0.58
    swick
    -0.57
    lio
    -0.57
    POSITIVE LOGITS
     of
    0.93
     financially
    0.92
     lest
    0.77
    angering
    0.76
     thereof
    0.75
     from
    0.71
     because
    0.71
     posed
    0.70
     unless
    0.67
     psychologically
    0.66
    Activations Density 0.077%

    No Known Activations