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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. 4-RES-JB
    11. 10823
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    Explanations

    phrases related to registration or enrollment in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "registered," particularly in relation to voters and other official entities

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

    No Comments

    Negative Logits
    wich
    -0.88
    ilitarian
    -0.87
    ï¸ı
    -0.73
    fare
    -0.73
    perty
    -0.71
     Lilly
    -0.68
    lihood
    -0.68
    ilt
    -0.67
    assi
    -0.66
     Galile
    -0.65
    POSITIVE LOGITS
     trademarks
    0.92
    registered
    0.73
     registered
    0.72
    emark
    0.72
     holders
    0.71
     registration
    0.69
    ifying
    0.69
    ross
    0.69
     holder
    0.68
     irregularities
    0.68
    Activations Density 0.011%

    No Known Activations