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    3. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    5. GPT2-Small
    7. Residual Post - 32k
    9. 8-RES_POST_32K-OAI
    11. 5904
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    Explanations

    items that are typically included in agricultural or food-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res_post_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_8.pt
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    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
    673
    +0.10
    0.5%
    228
    +0.09
    0.4%
    475
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    546
    +0.10
    0.05
    393
    +0.09
    0.06
    398
    +0.09
    0.04
    Negative Logits
    Privacy
    -0.90
    Offline
    -0.83
    REF
    -0.83
    VPN
    -0.81
    OLOG
    -0.76
    HUD
    -0.75
     behavi
    -0.73
    iHUD
    -0.73
    EMA
    -0.72
    exit
    -0.71
    POSITIVE LOGITS
     grapes
    1.27
     barley
    1.23
     wheat
    1.19
     oranges
    1.19
     rye
    1.17
     oats
    1.17
     beans
    1.16
     potatoes
    1.15
     tomatoes
    1.14
     rice
    1.13
    Activations Density 0.556%

    No Known Activations