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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. 4053
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    INDEX
    Explanations

    numerical and alphanumeric codes, likely used in technical or programming 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
    464
    +0.10
    0.4%
    665
    +0.09
    0.4%
    234
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    284
    +0.10
    0.04
    586
    +0.09
    0.04
    610
    +0.09
    0.05
    Negative Logits
    Higher
    -0.65
    Cross
    -0.61
     convergence
    -0.61
    let
    -0.60
    Sem
    -0.58
     compan
    -0.58
    wow
    -0.57
    lets
    -0.57
     econom
    -0.57
     scoreboard
    -0.57
    POSITIVE LOGITS
     [/
    0.81
    oglu
    0.80
     Speedway
    0.78
    bender
    0.73
     [+
    0.73
    sson
    0.70
    ,[
    0.68
    tarian
    0.67
    ername
    0.67
    Merit
    0.66
    Activations Density 0.554%

    No Known Activations