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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. 10-RES-JB
    11. 21625
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    Explanations

    countries related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to multiple countries and their involvement in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.83
    DragonMagazine
    -0.81
    ocious
    -0.76
    intendent
    -0.71
    ¥µ
    -0.70
    EStreamFrame
    -0.68
    utenberg
    -0.68
     ballpark
    -0.67
     bip
    -0.67
    ewitness
    -0.66
    POSITIVE LOGITS
     Denmark
    1.80
     Netherlands
    1.80
     Belgium
    1.77
     Switzerland
    1.76
     Finland
    1.75
     Sweden
    1.71
     France
    1.71
     Spain
    1.69
     Hungary
    1.69
     Italy
    1.68
    Activations Density 0.203%

    No Known Activations