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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. 9-RES-JB
    11. 3132
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    Explanations

    mentions of different positions in sports, particularly in football or baseball

    oai_token-act-pair · gpt-3.5-turbo

    references to positions or roles in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.78
    staking
    -0.76
    nces
    -0.74
     Gupta
    -0.69
     CCTV
    -0.67
    hig
    -0.66
     Remastered
    -0.66
    enegger
    -0.65
    otle
    -0.64
     Interstellar
    -0.61
    POSITIVE LOGITS
     fielder
    1.27
     winger
    1.17
     tackle
    1.15
     fullback
    1.10
     hamstring
    0.99
     wing
    0.99
     shoulder
    0.98
     flank
    0.97
    hander
    0.96
     Tackle
    0.96
    Activations Density 0.063%

    No Known Activations