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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    mentions of the city of Chicago

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Chicago

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.88
    egal
    -0.76
    nda
    -0.74
    reen
    -0.71
    rha
    -0.70
    arently
    -0.70
    vae
    -0.69
    arg
    -0.69
     facult
    -0.68
    ntil
    -0.68
    POSITIVE LOGITS
     Blackhawks
    1.06
     Tribune
    1.04
     Cubs
    1.01
     Bulls
    1.01
     Chicago
    0.95
     Bears
    0.90
    icago
    0.89
    Chicago
    0.88
     Loop
    0.85
    waukee
    0.81
    Activations Density 0.008%

    No Known Activations