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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 illicit drugs

    oai_token-act-pair · gpt-3.5-turbo

    references to drugs and substance use

    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
    Pont
    -0.73
     newcom
    -0.69
     Alexandria
    -0.68
    rian
    -0.68
    ership
    -0.68
    rius
    -0.67
     Doctrine
    -0.66
    adia
    -0.66
    oÄŁ
    -0.66
     Lyons
    -0.65
    POSITIVE LOGITS
     drugs
    1.09
     Drugs
    0.94
     overdose
    0.91
     overdoses
    0.91
     substances
    0.88
     prescribe
    0.83
     metabolites
    0.81
     fuelled
    0.81
     cocaine
    0.79
     addicts
    0.79
    Activations Density 0.042%

    No Known Activations