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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. 3242
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    INDEX
    Explanations

    phrases expressing self-efficacy and individual capability

    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
    620
    +0.11
    0.5%
    279
    +0.10
    0.5%
    599
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    417
    +0.11
    0.04
    762
    +0.10
    0.04
    239
    +0.09
    0.03
    Negative Logits
    mund
    -0.83
    trak
    -0.78
    retty
    -0.70
    aughtered
    -0.69
    igl
    -0.67
    anan
    -0.66
    bb
    -0.66
    irtual
    -0.66
    maxwell
    -0.66
    olkien
    -0.65
    POSITIVE LOGITS
     specificity
    0.80
     tamp
    0.78
     duplication
    0.72
     duplicate
    0.67
     fuss
    0.67
     coupon
    0.67
     precon
    0.66
     tofu
    0.65
     referral
    0.65
     ounce
    0.64
    Activations Density 0.270%

    No Known Activations