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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    phrases related to oversight and monitoring

    oai_token-act-pair · gpt-3.5-turbo

    references to oversight or monitoring agencies, particularly those described as "watchdogs."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aka
    -0.70
    obi
    -0.68
     Stones
    -0.67
    icular
    -0.67
    cast
    -0.65
    heim
    -0.64
     ill
    -0.63
     Infinite
    -0.62
    tom
    -0.61
    away
    -0.61
    POSITIVE LOGITS
     watchdog
    3.91
     regulator
    2.11
     inspector
    1.38
     regulators
    1.26
     oversight
    1.24
    mbudsman
    1.15
     whistleblower
    1.14
     inspectors
    1.09
     probe
    1.09
     blacklist
    1.07
    Activations Density 0.014%

    No Known Activations