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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3786
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    Explanations

    percentages or proportions within a population, particularly focusing on the "1 percent."

    oai_token-act-pair · gpt-3.5-turbo

    references to the top income percentiles or wealth distribution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accomp
    -0.84
     compr
    -0.82
     conduc
    -0.82
    BY
    -0.79
    zek
    -0.73
    BuyableInstoreAndOnline
    -0.72
    DragonMagazine
    -0.71
    ¯¯
    -0.71
     notor
    -0.70
    ãĤ©
    -0.68
    POSITIVE LOGITS
    iles
    0.88
    uary
    0.77
    acre
    0.75
     GDP
    0.73
    aires
    0.72
     appropriation
    0.72
     dollar
    0.72
    uation
    0.71
     unemployment
    0.71
     earners
    0.69
    Activations Density 0.060%

    No Known Activations