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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. 11424
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    Explanations

    text related to sports and athletics

    oai_token-act-pair · gpt-3.5-turbo

    references to football-related topics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ħĭ
    -0.86
    chin
    -0.82
    >>>>>>>>
    -0.73
    iHUD
    -0.71
    redo
    -0.71
    HK
    -0.71
    wark
    -0.71
    zhen
    -0.70
    åį
    -0.69
    alogue
    -0.68
    POSITIVE LOGITS
     football
    2.06
    Football
    1.96
     basketball
    1.92
     athletes
    1.88
     NFL
    1.87
     sports
    1.85
     Football
    1.85
     athletics
    1.83
    football
    1.82
     NCAA
    1.81
    Activations Density 0.853%

    No Known Activations