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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. 19502
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    Explanations

    references to substances or drugs, especially in the context of abuse or medical treatment

    oai_token-act-pair · gpt-3.5-turbo

    references to substance abuse and related 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
    ITAL
    -0.71
     Zimmer
    -0.70
    ãĥ¼ãĤ¯
    -0.69
    DIR
    -0.69
    OY
    -0.66
    aldi
    -0.66
     Ellison
    -0.65
    ros
    -0.64
     Blazers
    -0.64
     Fior
    -0.62
    POSITIVE LOGITS
    fulness
    0.99
     substance
    0.96
     substances
    0.92
    abuse
    0.89
    amphetamine
    0.86
    cohol
    0.85
     Substance
    0.84
     abuser
    0.84
     abusers
    0.83
    iveness
    0.83
    Activations Density 0.012%

    No Known Activations