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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18165
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to openings, events, and various aspects of gatherings or social interactions

    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
    MENTS
    -0.61
     Sweeney
    -0.60
     Portuguese
    -0.60
     Tata
    -0.58
     Spartans
    -0.58
     cleaners
    -0.58
     Submission
    -0.57
     exception
    -0.56
     Fisheries
    -0.55
     Slov
    -0.54
    POSITIVE LOGITS
    peed
    1.65
    hift
    1.64
    ilver
    1.64
    chool
    1.62
    mith
    1.55
    pace
    1.51
    creen
    1.50
    pring
    1.49
    erver
    1.49
    heet
    1.47
    Activations Density 0.724%

    No Known Activations