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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. 6-RES-JB
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    Explanations

    references to drug use, substance abuse, and related activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to drug use and substance abuse

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Solar
    -0.79
    angular
    -0.78
    £ı
    -0.77
    AUT
    -0.76
    Temp
    -0.75
    Hug
    -0.72
    arine
    -0.72
    Sphere
    -0.70
    prise
    -0.70
    WIND
    -0.69
    POSITIVE LOGITS
     drugs
    1.11
     addiction
    1.05
     methamphetamine
    1.05
     drug
    1.02
     cocaine
    1.01
     Addiction
    0.98
     medication
    0.96
     disorder
    0.95
     disorders
    0.95
     stimul
    0.95
    Activations Density 0.154%

    No Known Activations