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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. 3605
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    INDEX
    Explanations

    concrete references to statistics and data-driven statements

    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
    +0.11
    0.5%
    150
    +0.11
    0.5%
    168
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    400
    +0.11
    0.01
    355
    +0.11
    0.01
    411
    +0.10
    0.01
    Negative Logits
     formulations
    -0.77
    ezvous
    -0.76
    rules
    -0.73
     algorithms
    -0.72
     successors
    -0.70
     sequences
    -0.70
     locks
    -0.69
     recipes
    -0.68
     instructions
    -0.68
     theorem
    -0.68
    POSITIVE LOGITS
    obs
    0.75
     uninsured
    0.73
    ospace
    0.72
     capita
    0.69
    çľ
    0.68
    population
    0.68
     roaring
    0.67
     wors
    0.67
     è£ıç
    0.66
     occupation
    0.65
    Activations Density 0.018%

    No Known Activations