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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 law enforcement and sheriffs

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement, specifically the term "Sheriff."

    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
    lihood
    -0.91
    ces
    -0.70
    htar
    -0.69
    bil
    -0.69
    aeda
    -0.69
    FORE
    -0.69
    76561
    -0.68
    chell
    -0.67
    umar
    -0.66
    ctory
    -0.65
    POSITIVE LOGITS
     Sheriff
    1.17
     sheriff
    0.99
     Marshal
    0.88
    iffs
    0.82
     Supervisor
    0.81
    osate
    0.80
     deputies
    0.78
    Sher
    0.77
     Arpaio
    0.74
     coroner
    0.73
    Activations Density 0.013%

    No Known Activations