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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. 5-RES-JB
    6. 19679
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    INDEX
    Explanations

    references to spiders

    oai_token-act-pair · gpt-3.5-turbo

    mentions of spiders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cussion
    -0.74
    brance
    -0.70
    ocaust
    -0.69
     Lauder
    -0.68
    ISTER
    -0.67
    ufact
    -0.66
    endment
    -0.65
    ottest
    -0.62
     richer
    -0.61
     Commodore
    -0.61
    POSITIVE LOGITS
    monkey
    0.95
     spiders
    0.95
     webs
    0.95
     spider
    0.93
    web
    0.92
    lings
    0.88
    aceous
    0.85
     silk
    0.84
    craft
    0.81
    Spider
    0.81
    Activations Density 0.019%

    No Known Activations