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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. 2-RES-JB
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    Explanations

    the proper noun "Michigan"

    oai_token-act-pair · gpt-4-turbo

    instances of the state of Michigan mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Michigan

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ========
    -0.83
    thood
    -0.82
    sem
    -0.80
    emate
    -0.78
    ppo
    -0.77
    lihood
    -0.77
    selage
    -0.74
    geoning
    -0.72
    mares
    -0.72
    reen
    -0.71
    POSITIVE LOGITS
     State
    0.94
     Township
    0.92
     Michigan
    0.90
    inois
    0.89
    Michigan
    0.82
     Wolver
    0.82
     Mayhem
    0.77
    Penn
    0.76
     Bucks
    0.76
    sylvania
    0.72
    Activations Density 0.009%

    No Known Activations