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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. 4256
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    INDEX
    Explanations

    references to food and meal 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
    745
    +0.17
    0.8%
    756
    +0.12
    0.6%
    52
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    745
    +0.17
    0.26
    554
    +0.12
    0.31
    756
    +0.11
    0.23
    Negative Logits
     Ling
    -0.85
     Corinth
    -0.75
     Sect
    -0.75
     Genocide
    -0.74
     Clone
    -0.73
     Xander
    -0.72
     Reincarn
    -0.72
     Theft
    -0.72
     Cult
    -0.71
     Ide
    -0.71
    POSITIVE LOGITS
    WARE
    0.80
    oyer
    0.77
    uine
    0.76
    WIN
    0.74
    atform
    0.74
    tty
    0.71
    saf
    0.71
    Sensor
    0.70
    NetMessage
    0.69
    liest
    0.69
    Activations Density 17.328%

    No Known Activations