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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. 3-RES-JB
    11. 4326
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    Explanations

    references to the German football club Borussia Dortmund

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Russia" and related variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tons
    -0.79
    clusively
    -0.79
    FACE
    -0.73
    drawn
    -0.71
    quickShipAvailable
    -0.71
    Acknowled
    -0.71
    cause
    -0.70
    bor
    -0.69
    tc
    -0.69
    lit
    -0.69
    POSITIVE LOGITS
     Dortmund
    1.16
    ussia
    0.81
    sburg
    0.79
     Confederation
    0.79
     Nikola
    0.77
     Juda
    0.75
     Orchestra
    0.74
    ieve
    0.73
     Enterprises
    0.72
    ijn
    0.70
    Activations Density 0.009%

    No Known Activations