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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. 3737
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    Explanations

    references to food and beverage-related events and activities

    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
    218
    +0.16
    0.7%
    698
    +0.11
    0.5%
    639
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    447
    +0.16
    0.17
    639
    +0.11
    0.05
    117
    +0.10
    0.07
    Negative Logits
    ãĥĦ
    -0.69
    ãĤ¨ãĥ«
    -0.69
     âĢİ
    -0.65
     Berserker
    -0.64
     conclud
    -0.64
    ypes
    -0.63
     Collider
    -0.62
     Clicker
    -0.62
     COUR
    -0.62
     SQ
    -0.61
    POSITIVE LOGITS
    ";
    0.69
    marine
    0.69
    ';
    0.68
    milo
    0.67
    ndum
    0.67
    "></
    0.66
    abama
    0.66
     reconnect
    0.65
     sustainability
    0.65
    ciplinary
    0.65
    Activations Density 7.942%

    No Known Activations