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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. 9-RES-JB
    11. 13309
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    Explanations

    multiple number patterns, including ages and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and data points related to populations and demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     administr
    -0.79
    ebin
    -0.74
     agre
    -0.64
     muzzle
    -0.62
    merce
    -0.62
     moder
    -0.61
    ainer
    -0.60
    ramid
    -0.58
    rium
    -0.58
    arette
    -0.58
    POSITIVE LOGITS
     Reasons
    1.02
     Minutes
    0.99
     Deg
    0.95
     Ways
    0.95
    Days
    0.94
     years
    0.94
     Hours
    0.92
     Seconds
    0.92
     Years
    0.92
     Days
    0.88
    Activations Density 0.254%

    No Known Activations