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    3. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    5. GPT2-Small
    7. Attention Out - 32k
    9. 3-ATT_32K-OAI
    11. 4356
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    INDEX
    Explanations

    statistical and numerical data, particularly in the context of performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-att_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-attn-out-SAEs/v5_32k_layer_3
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.3.hook_attn_out
    Hook Layer
    3
    Architecture
    standard
    Context Size
    64
    Dataset
    Skylion007/openwebtext
    Activation Function
    topk
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    714
    +0.12
    0.5%
    450
    +0.10
    0.4%
    568
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    293
    +0.12
    0.06
    738
    +0.10
    0.04
    570
    +0.10
    0.04
    Negative Logits
    oday
    -0.75
    anian
    -0.73
    apeake
    -0.72
    alus
    -0.69
    interrupted
    -0.69
     Paste
    -0.68
     Tip
    -0.67
    uce
    -0.66
    Narr
    -0.65
    weet
    -0.64
    POSITIVE LOGITS
    ãĥĢ
    0.75
     Aki
    0.68
    ãĥ¯
    0.66
    ãĥŃ
    0.66
    ibaba
    0.66
     Compet
    0.64
     CentOS
    0.63
     Chattanooga
    0.62
     Rankings
    0.59
    ãĥ¼ãĥ«
    0.59
    Activations Density 0.866%

    No Known Activations