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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 8786
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    INDEX
    Explanations

    mentions of smoking or smokers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to smoking or smokers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quartered
    -0.88
    artz
    -0.87
    blem
    -0.83
    ailable
    -0.81
    quished
    -0.79
    lisher
    -0.78
    usha
    -0.78
    inventoryQuantity
    -0.75
    digy
    -0.73
     defe
    -0.73
    POSITIVE LOGITS
     Robots
    0.71
     Guys
    0.70
     Sounds
    0.70
     Gus
    0.70
     Married
    0.69
     Bugs
    0.69
     There
    0.69
     Maybe
    0.69
     Unfortunately
    0.69
     Perhaps
    0.68
    Activations Density 0.000%

    No Known Activations