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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. 16391
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    Explanations

    keywords related to data manipulation and analysis, including terms like "statistics," "optimization rules," "axis steps," and "data analysis."

    oai_token-act-pair · gpt-3.5-turbo

    statistical terms and concepts related to performance measurements

    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
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    No Comments

    Negative Logits
    Control
    -0.67
    Benz
    -0.65
    Side
    -0.65
    cas
    -0.65
    Witness
    -0.65
    Cas
    -0.65
    Cash
    -0.64
    Clock
    -0.64
    Race
    -0.64
    ãĥ©ãĥ³
    -0.64
    POSITIVE LOGITS
     theorem
    0.77
     requirement
    0.77
     applied
    0.67
     attainment
    0.66
     designation
    0.65
     directive
    0.65
    =$
    0.64
     override
    0.63
     plus
    0.62
     afore
    0.62
    Activations Density 0.566%

    No Known Activations