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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20876
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    INDEX
    Explanations

    statistics and figures related to various topics and occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data concerning demographics and health-related issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ependence
    -0.80
    inge
    -0.74
    aban
    -0.72
    swer
    -0.66
    !/
    -0.66
    livion
    -0.65
    peat
    -0.64
    emn
    -0.64
    !),
    -0.62
    )!
    -0.62
    POSITIVE LOGITS
     "[
    0.90
     "#
    0.90
     "â̦
    0.83
     average
    0.70
     "@
    0.65
     median
    0.64
     "(
    0.64
     "+
    0.63
     "'
    0.63
    Average
    0.62
    Activations Density 0.607%

    No Known Activations