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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. 27557
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    Explanations

    phrases related to energy consumption and environmental factors

    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
    373
    +0.14
    0.7%
    399
    +0.11
    0.5%
    4
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    756
    +0.14
    0.03
    7
    +0.11
    0.07
    566
    +0.10
    0.07
    Negative Logits
    vier
    -0.64
    most
    -0.62
     Coch
    -0.58
    IJ
    -0.56
    ammy
    -0.56
    stad
    -0.56
     Tray
    -0.56
    ottest
    -0.56
    ipple
    -0.56
     Buckingham
    -0.55
    POSITIVE LOGITS
     devoted
    0.86
    awaru
    0.74
     attributable
    0.72
     concentrated
    0.70
    iary
    0.70
     wasted
    0.67
     improvised
    0.66
     crap
    0.66
    70710
    0.65
     gone
    0.65
    Activations Density 1.437%

    No Known Activations