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    3. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    5. GPT2-Small
    7. Residual Post - 32k
    9. 10-RES_POST_32K-OAI
    11. 32023
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    INDEX
    Explanations

    quantifiable data and statistics related to events and production scales

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res_post_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_10.pt
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    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
    344
    +0.10
    0.4%
    273
    +0.09
    0.4%
    220
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    220
    +0.10
    0.10
    344
    +0.09
    0.08
    310
    +0.09
    0.07
    Negative Logits
    timer
    -0.77
    govtrack
    -0.76
    inventoryQuantity
    -0.76
    elf
    -0.75
    efficiency
    -0.70
    lings
    -0.70
     Few
    -0.70
     Takeru
    -0.68
    uber
    -0.68
    wolf
    -0.67
    POSITIVE LOGITS
     different
    1.10
     countries
    1.09
     categories
    0.99
     distinct
    0.96
     brands
    0.93
     chapters
    0.93
     languages
    0.92
     jurisdictions
    0.92
     varieties
    0.91
     separate
    0.89
    Activations Density 0.524%

    No Known Activations