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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. 8-RES-JB
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    Explanations

    references to the Dalai Lama and Tibet

    oai_token-act-pair · gpt-3.5-turbo

    references to the Dalai Lama and Tibetan Buddhism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adden
    -0.69
    mington
    -0.68
    inion
    -0.68
    Ò
    -0.67
    nesota
    -0.66
    aunder
    -0.66
    nect
    -0.64
    gage
    -0.64
     Hitchcock
    -0.64
    EED
    -0.63
    POSITIVE LOGITS
     Lama
    1.32
     Dalai
    0.99
     Tibetan
    0.97
     Buddhist
    0.97
     Buddhism
    0.95
     Tibet
    0.94
    utan
    0.83
     monks
    0.81
     Buddh
    0.81
    orians
    0.77
    Activations Density 0.049%

    No Known Activations