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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. 1-RES-JB
    11. 22199
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    Explanations

    related to topics that are the main focus or central theme of the text snippets, such as research on specific topics, areas of discussion, and organizational priorities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "focused."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alter
    -0.68
    ania
    -0.67
    anne
    -0.67
    xton
    -0.67
     Upton
    -0.66
     Tat
    -0.64
    BIT
    -0.64
    Naz
    -0.62
    iding
    -0.61
    anged
    -0.61
    POSITIVE LOGITS
     foc
    1.11
     focused
    1.08
     focusing
    0.96
     focus
    0.94
    sonian
    0.93
    rals
    0.85
     focuses
    0.84
     unfocused
    0.79
    wcs
    0.79
    focus
    0.78
    Activations Density 0.019%

    No Known Activations