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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. 11-RES-JB
    11. 1638
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    Explanations

    numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or themes related to societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     sauces
    -0.47
     Roses
    -0.47
     Homeless
    -0.46
     Wolves
    -0.46
     Kirin
    -0.45
     Rescue
    -0.44
     Canaver
    -0.44
     losers
    -0.43
     Krug
    -0.43
     Clancy
    -0.43
    POSITIVE LOGITS
    ,[
    0.60
    .[
    0.60
    )--
    0.58
    entimes
    0.58
    ).[
    0.58
     presently
    0.55
     currently
    0.54
    ����
    0.54
    ���
    0.54
     thereby
    0.53
    Activations Density 1.407%

    No Known Activations