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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. 7-RES-JB
    11. 7782
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    Explanations

    keywords related to substance and substance abuse

    oai_token-act-pair · gpt-3.5-turbo

    references to various substances and substance abuse

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Blazers
    -0.79
    ãĥ¼ãĤ¯
    -0.76
    DIR
    -0.71
     Slate
    -0.71
     Hawks
    -0.69
    aldi
    -0.67
     Ellison
    -0.67
    OY
    -0.66
    ITAL
    -0.65
     Syri
    -0.64
    POSITIVE LOGITS
    abuse
    0.97
    fulness
    0.96
     substances
    0.94
    amphetamine
    0.94
     abusers
    0.92
     Abuse
    0.92
     abuser
    0.88
    iveness
    0.87
     abuse
    0.87
     substance
    0.85
    Activations Density 0.023%

    No Known Activations