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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. 9-RES-JB
    11. 3088
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    Explanations

    NFL team names, specifically focusing on the Pittsburgh Steelers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Pittsburgh and its sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phas
    -0.92
    selves
    -0.84
    xus
    -0.76
    hig
    -0.75
    lasses
    -0.73
    pora
    -0.72
    nces
    -0.71
    nea
    -0.70
    pees
    -0.70
    perse
    -0.70
    POSITIVE LOGITS
    sburgh
    1.80
     Steelers
    1.35
     Penguins
    1.27
    sburg
    1.07
    sylvania
    1.02
     Pirates
    0.99
    Pitt
    0.96
     Mellon
    0.83
     Pittsburgh
    0.82
     Pike
    0.80
    Activations Density 0.040%

    No Known Activations