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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. 9-RES-JB
    11. 3441
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    Explanations

    words related to politics, policies, and societal issues

    oai_token-act-pair · gpt-3.5-turbo

    references to various societal and public issues, especially those related to health, safety, and community regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤĵ
    -0.79
    ¬¼
    -0.77
    iece
    -0.73
    dden
    -0.73
    worldly
    -0.69
    eem
    -0.65
    ãģł
    -0.65
    ega
    -0.63
    alla
    -0.63
    itary
    -0.60
    POSITIVE LOGITS
     whereby
    1.01
     aka
    0.99
     which
    0.98
     namely
    0.98
     particularly
    0.94
     although
    0.93
     wherein
    0.90
     albeit
    0.89
     especially
    0.88
     whereas
    0.83
    Activations Density 0.336%

    No Known Activations