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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. 8-RES-JB
    11. 14416
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    INDEX
    Explanations

    numbers in a specific format indicating a range or change over time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating year-round or consistent patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Borders
    -0.86
    HCR
    -0.63
     pul
    -0.62
    burgh
    -0.59
     Metall
    -0.59
     ESC
    -0.59
    ESCO
    -0.59
    ļéĨĴ
    -0.59
     Mechdragon
    -0.59
     Diplom
    -0.58
    POSITIVE LOGITS
    long
    1.13
    to
    1.09
    appropriate
    1.04
    based
    1.03
    of
    1.02
    end
    1.01
    sized
    1.00
    gap
    1.00
    time
    0.99
    wise
    0.99
    Activations Density 0.068%

    No Known Activations