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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. 3512
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    INDEX
    Explanations

    references to significant issues or themes, often emphasized by the word "big"

    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
    71
    +0.10
    0.5%
    92
    +0.10
    0.5%
    727
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    322
    +0.10
    0.05
    451
    +0.10
    0.04
    750
    +0.10
    0.03
    Negative Logits
    manent
    -0.78
    ateur
    -0.78
    porary
    -0.77
    Channel
    -0.77
    pered
    -0.74
     fluent
    -0.72
    stable
    -0.72
    poral
    -0.71
    ported
    -0.69
    alysed
    -0.68
    POSITIVE LOGITS
    YC
    0.70
     bulls
    0.70
     underest
    0.69
     hitters
    0.68
     coffers
    0.68
     (>
    0.67
     congr
    0.67
     caveat
    0.66
     Bust
    0.66
     aster
    0.64
    Activations Density 0.707%

    No Known Activations