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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. 7-RES-JB
    11. 18688
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    Explanations

    references to the city of Winnipeg or its associated sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Winnipeg and its associated sports team, the Winnipeg Jets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asin
    -0.91
    aeda
    -0.80
    arist
    -0.80
    train
    -0.79
    gdala
    -0.78
    baugh
    -0.77
    aceae
    -0.76
    colo
    -0.76
    antic
    -0.76
    nces
    -0.75
    POSITIVE LOGITS
    ipeg
    1.07
     Manitoba
    0.97
     Jets
    0.94
     Winnipeg
    0.93
     Saskatchewan
    0.87
     Province
    0.86
    shire
    0.83
     Moose
    0.82
    nown
    0.78
     Springs
    0.77
    Activations Density 0.040%

    No Known Activations