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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. 24299
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    INDEX
    Explanations

    terms related to demographic characteristics, including race, ethnicity, nationality, religion, and age

    oai_token-act-pair · gpt-3.5-turbo

    terms related to identity and social categories

    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
    ffic
    -0.73
    IRC
    -0.71
    EMS
    -0.68
    ern
    -0.67
    imar
    -0.66
    aug
    -0.66
     Mechan
    -0.65
    erg
    -0.65
     Oper
    -0.65
     ellipt
    -0.64
    POSITIVE LOGITS
     backgrounds
    0.95
     ancestry
    0.94
     ethnicity
    0.93
     heritage
    0.81
     Discrimination
    0.81
    ethnic
    0.81
     coloring
    0.79
     affili
    0.79
     stereotypes
    0.78
     ethnic
    0.78
    Activations Density 0.106%

    No Known Activations