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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. 8-RES-JB
    6. 18898
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    INDEX
    Explanations

    large numbers in the context of quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities in millions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     distingu
    -0.70
    Discuss
    -0.70
     Dating
    -0.69
    krit
    -0.66
    imen
    -0.66
    ourage
    -0.65
    agall
    -0.64
    ainer
    -0.64
     explan
    -0.63
    bara
    -0.63
    POSITIVE LOGITS
     dollars
    1.12
     hectares
    1.06
     tonnes
    0.98
     acres
    0.97
    aires
    0.97
     pounds
    0.97
     sq
    0.93
     lbs
    0.92
     gallons
    0.92
     miles
    0.88
    Activations Density 0.063%

    No Known Activations