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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. 6-RES-JB
    11. 17748
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    Explanations

    references to young individuals in the context of sports teams or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to young athletes and their development within sports academies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hobby
    -0.88
     Transcript
    -0.83
     Respond
    -0.80
     Feminist
    -0.76
     OPER
    -0.71
     Abortion
    -0.70
     EDT
    -0.70
     Advertising
    -0.70
    CNN
    -0.69
    fm
    -0.68
    POSITIVE LOGITS
     rookies
    1.21
     teammates
    1.14
     signings
    1.11
     rookie
    1.05
     talent
    1.05
     teammate
    1.05
     undrafted
    1.03
     players
    1.03
     coaches
    1.00
     prospects
    0.97
    Activations Density 0.186%

    No Known Activations