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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. 4-RES-JB
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    Explanations

    phrases related to the city of Indianapolis

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Indianapolis and its associated entities

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

    No Comments

    Negative Logits
    uchin
    -0.88
    vana
    -0.80
    ition
    -0.79
    ramid
    -0.79
    ebook
    -0.77
    udic
    -0.73
    ascript
    -0.73
    geoning
    -0.71
    edom
    -0.71
    ogy
    -0.70
    POSITIVE LOGITS
     Colts
    1.11
    apolis
    1.09
     Indianapolis
    0.89
     Pacers
    0.88
     Indy
    0.88
     Speedway
    0.78
    sburgh
    0.77
     Eleven
    0.74
     Kear
    0.73
     Township
    0.73
    Activations Density 0.008%

    No Known Activations