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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the football club Borussia Dortmund

    oai_token-act-pair · gpt-3.5-turbo

    mentions of football (soccer) clubs, particularly Borussia Dortmund, and associated terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otle
    -0.96
    ript
    -0.83
    orses
    -0.80
     Dragonbound
    -0.76
    urtles
    -0.76
    inosaur
    -0.75
    ently
    -0.74
    ively
    -0.73
    ories
    -0.72
    utterstock
    -0.71
    POSITIVE LOGITS
    ļéĨĴ
    0.76
    ÄŁ
    0.75
    ruary
    0.72
     Dortmund
    0.71
    pedia
    0.71
    fusc
    0.70
     externalToEVAOnly
    0.70
     Lub
    0.70
    nance
    0.69
     Haram
    0.68
    Activations Density 0.024%

    No Known Activations