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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. 17758
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    Explanations

    numerical values and medical terms commonly associated with treatments or conditions

    oai_token-act-pair · gpt-3.5-turbo

    a mix of numerical values and references to legal or healthcare terms

    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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     selves
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    ocene
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    omorphic
    -0.51
     cache
    -0.50
    ãĥ¼ãĥ«
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    ificant
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    0.72
     Computing
    0.58
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    0.55
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     Entry
    0.52
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     Tome
    0.49
    ADRA
    0.48
    Activations Density 0.853%

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