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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. 8169
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    Explanations

    phrases related to drugs or drug-related activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of key figures and terms related to a legal or criminal context

    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
    yip
    -0.94
    abwe
    -0.85
    uilding
    -0.78
    ebin
    -0.77
     guiActiveUn
    -0.76
    EStream
    -0.75
    awks
    -0.75
    Assembly
    -0.75
    ornia
    -0.74
    weeney
    -0.73
    POSITIVE LOGITS
     Cosby
    1.14
    stal
    0.72
    bach
    0.70
     Pryor
    0.68
     Grande
    0.67
    face
    0.67
     rapist
    0.66
    cott
    0.66
     Powder
    0.65
     hips
    0.65
    Activations Density 0.011%

    No Known Activations