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

    mentions of the term 'Chiefs'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Chiefs," likely referring to police chiefs or specific sports teams

    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
    mble
    -1.04
    ently
    -0.87
    employment
    -0.85
    tem
    -0.74
    angible
    -0.73
    pmwiki
    -0.70
    enza
    -0.68
    ded
    -0.68
    endum
    -0.66
    amination
    -0.66
    POSITIVE LOGITS
     Chiefs
    1.34
     Commissioners
    0.81
     Royals
    0.75
     chiefs
    0.70
    mith
    0.69
    Chief
    0.68
     Cycle
    0.68
    creen
    0.67
     routers
    0.66
     Mariners
    0.63
    Activations Density 0.005%

    No Known Activations