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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. 2-RES-JB
    11. 1643
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    Explanations

    numerical values in a specific format, likely related to monetary amounts, dates, and quantities

    oai_token-act-pair · gpt-3.5-turbo

    numeric data, particularly quantities and figures related to economics and statistics

    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
     Seym
    -0.60
     tradem
    -0.50
    Reviewer
    -0.49
    isoft
    -0.49
    awaru
    -0.47
    ongyang
    -0.47
     Marshal
    -0.47
    bsite
    -0.46
    llor
    -0.46
     Mandal
    -0.45
    POSITIVE LOGITS
    th
    0.77
    %"
    0.73
    een
    0.71
    ½
    0.70
    yrs
    0.68
    %,
    0.68
    rd
    0.68
    %.
    0.68
    eenth
    0.67
    %
    0.67
    Activations Density 0.650%

    No Known Activations