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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. 10-RES-JB
    11. 12705
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    Explanations

    actions related to giving, sending, bringing, and handing objects

    oai_token-act-pair · gpt-3.5-turbo

    actions related to sending or giving items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    £ı
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     ancest
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    NOW
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    arers
    -0.69
    itect
    -0.64
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     him
    1.51
     me
    1.32
     us
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    0.81
     himself
    0.76
     Kinnikuman
    0.76
     HIM
    0.75
    Activations Density 0.357%

    No Known Activations