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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. 8300
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to health, safety, and regulatory 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
    Laughs
    -0.75
    Redditor
    -0.71
    whatever
    -0.70
     vomit
    -0.70
     booze
    -0.69
     Demons
    -0.69
    fuck
    -0.68
     drunk
    -0.68
     stupidity
    -0.68
    Reddit
    -0.67
    POSITIVE LOGITS
     innovative
    0.73
    quartered
    0.72
     proactive
    0.71
     USDA
    0.70
     comprehensive
    0.69
     federally
    0.68
     licens
    0.68
     impacted
    0.68
     mandated
    0.68
     Cosponsors
    0.68
    Activations Density 1.755%

    No Known Activations