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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. 10-RES-JB
    6. 2000
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    INDEX
    Explanations

    mentions of drug-related actions and terms

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to health and safety issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ostic
    -0.61
    ariat
    -0.61
     Panc
    -0.57
    manship
    -0.57
     Azerb
    -0.56
    naires
    -0.56
    orate
    -0.55
     Pist
    -0.55
    cape
    -0.53
    eous
    -0.53
    POSITIVE LOGITS
    thumbnails
    0.55
     brutality
    0.51
     seizures
    0.51
    both
    0.50
     HDR
    0.50
    anooga
    0.50
    Values
    0.49
    %]
    0.48
    bleacher
    0.48
     URL
    0.47
    Activations Density 0.183%

    No Known Activations