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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. 1-RES-JB
    11. 9015
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    Explanations

    mentions of drug addiction or addictive behaviors

    oai_token-act-pair · gpt-3.5-turbo

    terms related to addiction and substance use

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nare
    -0.77
     Kov
    -0.77
    atre
    -0.75
     Alic
    -0.72
     Gorsuch
    -0.71
     Venture
    -0.71
    ordan
    -0.71
     Inher
    -0.70
     Ves
    -0.70
     Kul
    -0.68
    POSITIVE LOGITS
     addict
    1.37
     addictive
    1.25
     addicted
    1.01
     addicts
    0.97
     addiction
    0.89
     relapse
    0.87
     Reloaded
    0.83
    oola
    0.82
     irresistible
    0.81
     crave
    0.80
    Activations Density 0.013%

    No Known Activations