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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. 28478
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    Explanations

    references to chemical and biological agents, particularly in the context of weapons and their implications

    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
    121
    +0.11
    0.5%
    658
    +0.10
    0.4%
    554
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    516
    +0.11
    0.02
    288
    +0.10
    0.02
    554
    +0.09
    0.01
    Negative Logits
    lihood
    -0.81
    abouts
    -0.77
    olulu
    -0.75
    yy
    -0.72
    doms
    -0.70
    cius
    -0.70
    ership
    -0.68
    alach
    -0.68
    alos
    -0.67
    usc
    -0.64
    POSITIVE LOGITS
     warfare
    0.90
     makeup
    0.83
     weapons
    0.78
    ized
    0.75
     reactions
    0.75
     imbalance
    0.74
    icals
    0.72
     cocktails
    0.72
    bath
    0.70
     engineering
    0.69
    Activations Density 0.072%

    No Known Activations