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    1. Home
    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Residual Post - 32k
    5. 10-RES_POST_32K-OAI
    6. 27403
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    Explanations

    references to numerical values and specific data types in programming contexts

    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
    71
    +0.11
    0.5%
    549
    +0.11
    0.5%
    569
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.11
    0.05
    316
    +0.11
    0.04
    220
    +0.10
    0.03
    Negative Logits
     disadvant
    -0.75
    icans
    -0.75
     proble
    -0.74
    thodox
    -0.72
     neutrality
    -0.69
    ican
    -0.67
    nesday
    -0.67
    ilitarian
    -0.66
    ifully
    -0.65
     Flavoring
    -0.65
    POSITIVE LOGITS
    328
    1.03
    Hz
    0.77
    dfx
    0.76
     Minutes
    0.76
    950
    0.74
     ILCS
    0.71
    BM
    0.71
    326
    0.70
    GW
    0.69
    327
    0.67
    Activations Density 0.574%

    No Known Activations