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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. 10-RES-JB
    11. 768
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    INDEX
    Explanations

    numbers indicating quantities or estimates

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to large populations or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.77
    assetsadobe
    -0.72
     abbre
    -0.63
     Played
    -0.58
     symmetry
    -0.58
     fest
    -0.57
    Products
    -0.57
     Discount
    -0.56
     Coins
    -0.56
    ↵Âł
    -0.55
    POSITIVE LOGITS
     million
    1.66
    million
    1.52
     lakh
    1.48
     thousand
    1.39
     hundred
    1.27
     billion
    1.22
     000
    1.22
    billion
    1.16
     crore
    1.16
     MILL
    1.15
    Activations Density 0.167%

    No Known Activations