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

    mentions of the Affordable Care Act

    oai_token-act-pair · gpt-3.5-turbo

    references to the Affordable Care Act

    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
    KEN
    -0.74
     ns
    -0.69
     Kenyan
    -0.67
    GMT
    -0.65
    NK
    -0.64
     RAF
    -0.64
    STER
    -0.63
    ãĥ³ãĤ¸
    -0.62
    ————————————————
    -0.62
    chrom
    -0.62
    POSITIVE LOGITS
    taker
    1.14
    care
    1.04
    payer
    0.98
    ptives
    0.90
    tta
    0.88
     Provider
    0.88
     Clinic
    0.88
     Care
    0.86
    Care
    0.84
    amacare
    0.83
    Activations Density 0.010%

    No Known Activations