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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. 4-RES-JB
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    Explanations

    numbers or numerical patterns among words

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values, particularly those associated with quantities or statistics

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

    No Comments

    Negative Logits
    Reviewer
    -0.83
    Matrix
    -0.67
     bearer
    -0.62
    ilater
    -0.62
     depiction
    -0.62
    ãĤ¬
    -0.61
    Oracle
    -0.60
    Building
    -0.60
     adaptation
    -0.59
    ãĥ¤
    -0.59
    POSITIVE LOGITS
     thousand
    1.09
    teen
    1.01
     dozen
    0.98
     hundred
    0.94
    ths
    0.92
     Hundred
    0.92
    dozen
    0.89
     Thousand
    0.89
     thirds
    0.87
    een
    0.87
    Activations Density 0.085%

    No Known Activations