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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. 1458
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    Explanations

    numeric values such as amounts, quantities, and percentages, as well as specific objects like library cards and a physical condition like HIV

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial contributions and transactions

    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
     Vaugh
    -0.80
     disadvant
    -0.79
    _.
    -0.74
     undermin
    -0.74
     destro
    -0.71
     rul
    -0.69
    enegger
    -0.68
     Seym
    -0.63
    ilib
    -0.62
     challeng
    -0.62
    POSITIVE LOGITS
    uties
    0.54
     âĢº
    0.53
    mounted
    0.48
     Hunts
    0.43
     HS
    0.43
     Farming
    0.43
     LC
    0.42
    optional
    0.42
    united
    0.42
    chester
    0.42
    Activations Density 1.199%

    No Known Activations