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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
    11. 16517
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    Explanations

    numbers or percentages followed by the unit "%" on the document

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of a specific numerical value or a series of numerical data points often associated with statistical or financial information

    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
     Parade
    -0.65
    raltar
    -0.63
    ions
    -0.63
    phrine
    -0.62
    encers
    -0.61
     Flavoring
    -0.61
     streamed
    -0.60
     Scouting
    -0.60
    ¥µ
    -0.60
    razil
    -0.59
    POSITIVE LOGITS
    00
    0.90
    mares
    0.84
    ielding
    0.77
    kie
    0.71
    atural
    0.71
    50
    0.71
    yo
    0.70
    ety
    0.69
    itely
    0.69
    ession
    0.69
    Activations Density 0.030%

    No Known Activations