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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. 4232
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    INDEX
    Explanations

    concrete numerical data and statistical information

    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
    +0.21
    1.0%
    214
    +0.10
    0.5%
    83
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    616
    +0.21
    0.12
    214
    +0.10
    0.08
    362
    +0.09
    0.11
    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.95
    ÃĥÃĤ
    -0.75
    antam
    -0.75
    ãĤ©
    -0.73
    dor
    -0.69
     conclud
    -0.68
    kees
    -0.66
     skelet
    -0.65
    ffer
    -0.64
     ende
    -0.64
    POSITIVE LOGITS
     nature
    0.66
    enance
    0.65
     regression
    0.65
     (>
    0.64
     aggregate
    0.64
    ija
    0.64
     dialog
    0.63
    acial
    0.63
     metadata
    0.62
     transaction
    0.61
    Activations Density 8.616%

    No Known Activations