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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. 3-RES-JB
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    Explanations

    mentions of prominent individuals in finance and politics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of notable figures and names in a financial or political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.80
    fully
    -0.78
    pter
    -0.74
    nesota
    -0.73
    FTWARE
    -0.65
     Kali
    -0.64
    ÑĤ
    -0.64
    phis
    -0.64
    д
    -0.64
    ĪĴ
    -0.63
    POSITIVE LOGITS
     Buffett
    1.35
    dinand
    0.85
     Berkshire
    0.85
    etts
    0.83
     Buff
    0.73
    olini
    0.73
    stein
    0.72
    ccoli
    0.71
     dividend
    0.71
    steen
    0.71
    Activations Density 0.012%

    No Known Activations