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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3756
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    key terms related to energy, medical conditions, legal rights, economics, and societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Nav
    -0.72
    ãĤ±
    -0.71
    ãĤ®
    -0.61
    NW
    -0.60
    BIT
    -0.60
     Beaver
    -0.59
     Brit
    -0.59
    FUN
    -0.59
     Coastal
    -0.59
     Sugar
    -0.58
    POSITIVE LOGITS
    eers
    0.74
    chuk
    0.67
     syndrome
    0.67
    iatus
    0.67
    ossier
    0.66
     alone
    0.64
    ldom
    0.62
     assemblies
    0.60
     regress
    0.59
    ertodd
    0.58
    Activations Density 0.475%

    No Known Activations