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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of the city "Pittsburgh."

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Pittsburgh and its associated sports teams

    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
    hig
    -0.94
    arist
    -0.88
    perse
    -0.81
    phas
    -0.80
    nda
    -0.77
    lasses
    -0.77
    ogy
    -0.76
    cam
    -0.76
    uchin
    -0.74
    binding
    -0.74
    POSITIVE LOGITS
    sburgh
    1.82
     Steelers
    1.29
     Penguins
    1.22
     Pittsburgh
    1.01
    sylvania
    0.99
     Mellon
    0.99
     Pirates
    0.98
    sburg
    0.97
    Pitt
    0.91
     Tribune
    0.83
    Activations Density 0.011%

    No Known Activations