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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. 15534
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal or court-related cases and individuals involved

    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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    Negative Logits
    sic
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    enegger
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    £ı
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    [/
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    milo
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    tein
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    soever
    -0.17
    POSITIVE LOGITS
     âĢº
    0.15
    Buyable
    0.15
     preseason
    0.14
    )--
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     GeForce
    0.14
    okia
    0.14
     Wireless
    0.14
     Comics
    0.14
    isoft
    0.14
    ustomed
    0.13
    Activations Density 7.049%

    No Known Activations