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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. 11-RES-JB
    11. 2632
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    Explanations

    details related to the NFL draft

    oai_token-act-pair · gpt-3.5-turbo

    references to sports drafts and player selections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     behavi
    -0.90
     integ
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    ysis
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     OPER
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    mbuds
    -0.74
    wordpress
    -0.74
    Oper
    -0.73
    anguage
    -0.70
     Serving
    -0.70
    POSITIVE LOGITS
     draft
    1.70
    Draft
    1.62
     Draft
    1.53
     drafts
    1.53
     drafting
    1.49
     picks
    1.49
     selections
    1.48
    draft
    1.47
     drafted
    1.39
     Mock
    1.36
    Activations Density 0.304%

    No Known Activations