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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. 3-RES-JB
    11. 17444
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    INDEX
    Explanations

    phrases related to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific teams or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ously
    -0.88
    tumblr
    -0.77
    itures
    -0.76
    ocene
    -0.72
    mobi
    -0.71
    Downloadha
    -0.71
    uckland
    -0.69
     destro
    -0.69
     condem
    -0.69
    peria
    -0.69
    POSITIVE LOGITS
    mates
    1.17
     Leader
    0.97
    Liquid
    0.96
    mate
    0.91
     Solo
    0.87
    liquid
    0.87
     mates
    0.86
     Rocket
    0.85
     Team
    0.79
     Liquid
    0.79
    Activations Density 0.020%

    No Known Activations