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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. 11-RES-JB
    11. 5316
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    INDEX
    Explanations

    proper nouns and numerical information

    oai_token-act-pair · gpt-3.5-turbo

    quantities and numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.88
    dayName
    -0.79
    oris
    -0.79
    nai
    -0.71
    rouse
    -0.71
    arious
    -0.69
    asin
    -0.68
    Interstitial
    -0.67
    enos
    -0.65
    ROR
    -0.64
    POSITIVE LOGITS
     none
    1.10
     only
    1.10
     seven
    0.97
     nine
    0.95
     eight
    0.94
     six
    0.93
     fewer
    0.91
     fourteen
    0.90
     five
    0.89
     thirteen
    0.89
    Activations Density 0.121%

    No Known Activations