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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. 28708
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    Explanations

    references to specific athletes and their performance in sports 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
    628
    +0.12
    0.5%
    634
    +0.11
    0.5%
    42
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    429
    +0.12
    0.10
    634
    +0.11
    0.11
    42
    +0.10
    0.13
    Negative Logits
    CNN
    -0.76
    sth
    -0.76
    trip
    -0.76
     disapproval
    -0.73
     CNN
    -0.70
     disappro
    -0.70
     POLITICO
    -0.69
    rational
    -0.69
     Newsweek
    -0.69
    summary
    -0.69
    POSITIVE LOGITS
     undrafted
    1.28
     winger
    1.25
     rookies
    1.16
     fullback
    1.15
     midfielder
    1.14
     forwards
    1.13
     defenseman
    1.12
     talents
    1.11
     versatile
    1.11
     linemen
    1.11
    Activations Density 4.839%

    No Known Activations