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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. 4414
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    INDEX
    Explanations

    discussions about efficiency and productivity in various contexts

    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%
    625
    +0.11
    0.5%
    258
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    714
    +0.12
    0.02
    450
    +0.11
    0.02
    577
    +0.09
    0.02
    Negative Logits
     peninsula
    -0.79
    oft
    -0.77
    TW
    -0.74
    iens
    -0.73
    riber
    -0.68
    ayn
    -0.67
    xual
    -0.66
    aban
    -0.64
     Farms
    -0.64
     RU
    -0.63
    POSITIVE LOGITS
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.78
     capacity
    0.77
     capacities
    0.72
    ascript
    0.72
     discharge
    0.69
    performance
    0.69
    iencies
    0.69
    fficient
    0.68
     sustainable
    0.67
     discharged
    0.67
    Activations Density 0.174%

    No Known Activations