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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. 0-RES-JB
    11. 10062
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    Explanations

    baseball-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the sport of baseball

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ë
    -0.92
    vt
    -0.78
    ptoms
    -0.72
    Guard
    -0.71
     Emin
    -0.70
     Dele
    -0.70
    elle
    -0.69
    î
    -0.68
     Than
    -0.68
     Markus
    -0.66
    POSITIVE LOGITS
     baseball
    3.57
     Baseball
    2.80
     MLB
    2.19
     basketball
    2.15
     hockey
    2.08
     soccer
    2.02
     cricket
    2.00
     volleyball
    1.98
     football
    1.94
     tennis
    1.84
    Activations Density 0.012%

    No Known Activations