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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. 3-RES-JB
    11. 5646
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    Explanations

    keywords related to illegal or forbidden activities

    oai_token-act-pair · gpt-3.5-turbo

    references to illicit activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.81
    din
    -0.79
    =-=-=-=-
    -0.74
    udeb
    -0.72
    gaard
    -0.71
    Dog
    -0.71
    quickShipAvailable
    -0.70
    osaurs
    -0.69
    frames
    -0.69
    SAY
    -0.69
    POSITIVE LOGITS
     trafficking
    0.95
     illicit
    0.94
     substances
    0.86
     smuggling
    0.80
     goods
    0.78
     drug
    0.77
     lic
    0.77
     drugs
    0.76
     overfl
    0.75
    ly
    0.75
    Activations Density 0.013%

    No Known Activations