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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. 5902
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    Explanations

    information related to sports contracts and player career details, especially focusing on football

    oai_token-act-pair · gpt-3.5-turbo

    references to coaches and their careers in the context of football

    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
     Filipino
    -0.92
     Regist
    -0.86
     Tat
    -0.86
     Drupal
    -0.85
     anat
    -0.84
    rupal
    -0.84
    arat
    -0.83
    kaya
    -0.83
    iquid
    -0.82
     Bosnia
    -0.81
    POSITIVE LOGITS
     Packers
    2.41
     Rodgers
    2.16
     McCarthy
    1.52
     Aaron
    1.49
     Jord
    1.49
     Green
    1.41
     Lam
    1.34
     NFC
    1.30
    Green
    1.25
    Rod
    1.25
    Activations Density 0.142%

    No Known Activations