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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. 19959
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    idays
    -0.70
    arching
    -0.68
    etheless
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     inactive
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     handc
    -0.67
     deleg
    -0.64
     unsc
    -0.64
     knees
    -0.64
     mutually
    -0.64
     engagements
    -0.64
    POSITIVE LOGITS
    Wilson
    0.98
    âĢķ
    0.95
    QUI
    0.94
    Lev
    0.94
    Said
    0.93
    Trivia
    0.92
    Mos
    0.90
    \\\\\\\\
    0.90
    Developer
    0.88
    Reviewed
    0.87
    Activations Density 0.186%

    No Known Activations