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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. 9-RES-JB
    11. 15936
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    Explanations

    phrases related to online accounts and account management

    oai_token-act-pair · gpt-3.5-turbo

    references to accounts, particularly in a financial or digital context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Sight
    -0.79
    NetMessage
    -0.69
    GGGGGGGG
    -0.67
    seq
    -0.65
     intrins
    -0.63
    ||||
    -0.62
    ï¸ı
    -0.61
    STON
    -0.61
    borough
    -0.60
     Valentine
    -0.60
    POSITIVE LOGITS
    ancy
    1.28
     balances
    1.13
     rece
    1.08
    ants
    1.06
     holders
    1.05
     holder
    1.05
     payable
    1.01
    lain
    0.94
    abilities
    0.91
    ancies
    0.86
    Activations Density 0.048%

    No Known Activations