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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. 2127
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    Explanations

    mentions of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to sports teams and franchises

    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
    tical
    -0.73
    onymous
    -0.71
    auntlets
    -0.70
    ctors
    -0.70
    enance
    -0.68
    quickShipAvailable
    -0.67
    trak
    -0.67
    efully
    -0.66
    autical
    -0.66
    ements
    -0.66
    POSITIVE LOGITS
     fans
    0.93
     Fans
    0.86
     rookie
    0.83
     Nation
    0.79
     teammates
    0.77
    Fans
    0.76
    Nation
    0.76
     Stadium
    0.74
     rookies
    0.73
    peed
    0.73
    Activations Density 0.119%

    No Known Activations