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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. 7-RES-JB
    11. 170
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    Explanations

    references to different positions and movements in American football, particularly focusing on plays involving the inside and outside positions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports positions and movements on the field

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     Canaver
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     UNESCO
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     Investig
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    POSITIVE LOGITS
     linebackers
    1.17
     linebacker
    1.16
     fullback
    1.02
     athleticism
    1.01
     leagues
    0.95
     league
    0.95
     defensive
    0.95
     matchups
    0.95
     midfield
    0.93
     cornerback
    0.93
    Activations Density 0.211%

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