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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. 10-RES-JB
    11. 3379
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    Explanations

    information related to sports tournaments for individuals under the age of 18

    oai_token-act-pair · gpt-3.5-turbo

    numerical references to underage sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     443
    -0.67
    reads
    -0.64
    paralle
    -0.63
     Sawyer
    -0.62
    ique
    -0.62
     ç¥ŀ
    -0.61
    asma
    -0.60
    objects
    -0.60
     Osw
    -0.59
    iko
    -0.58
    POSITIVE LOGITS
    s
    1.24
    ths
    0.97
    âĢ³
    0.87
    âĢ²
    0.81
    TION
    0.79
    Os
    0.73
     hindsight
    0.71
    th
    0.70
     timeframe
    0.69
    sed
    0.69
    Activations Density 0.109%

    No Known Activations