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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. 24056
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    Explanations

    phrases related to specific objects of significance or interest

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing the word "of"

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    BILL
    -0.75
    paces
    -0.74
     menus
    -0.71
    items
    -0.70
    aceous
    -0.68
     drawer
    -0.68
     bathrooms
    -0.67
     blogs
    -0.66
     trailers
    -0.66
    maps
    -0.65
    POSITIVE LOGITS
     Excellence
    0.92
     Allaah
    0.84
     Destruction
    0.80
    uran
    0.80
     Mastery
    0.79
     Protection
    0.77
    urance
    0.77
     Truth
    0.76
     Wisdom
    0.76
    reciation
    0.75
    Activations Density 0.108%

    No Known Activations