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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. 26998
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    INDEX
    Explanations

    adverbs and adjectives that describe severe negative conditions or injuries

    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
    502
    +0.11
    0.5%
    186
    +0.10
    0.5%
    198
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    206
    +0.11
    0.02
    55
    +0.10
    0.04
    377
    +0.10
    0.03
    Negative Logits
    yip
    -0.69
    aucuses
    -0.68
    guyen
    -0.67
     Mutual
    -0.67
    itionally
    -0.67
    pez
    -0.63
    uctor
    -0.63
    sburgh
    -0.62
    aurus
    -0.62
    urous
    -0.61
    POSITIVE LOGITS
     injured
    1.12
    needed
    1.08
     wounded
    1.08
     damaged
    1.06
     flawed
    1.04
     needed
    0.97
     injuring
    0.96
     ill
    0.95
     underest
    0.95
     underestimated
    0.94
    Activations Density 0.258%

    No Known Activations