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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. 8998
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    INDEX
    Explanations

    phrases that quantify the amount of something, specifically the word "lot" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Neuron Alignment
    Index
    Value
    % of L₁
    373
    +0.13
    0.6%
    126
    +0.12
    0.6%
    20
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    344
    +0.13
    0.05
    243
    +0.12
    0.05
    596
    +0.10
    0.05
    Negative Logits
    era
    -0.73
    eb
    -0.67
    odan
    -0.65
    sole
    -0.64
    cers
    -0.64
    runs
    -0.63
    emy
    -0.62
    ebin
    -0.62
    deen
    -0.62
    tm
    -0.61
    POSITIVE LOGITS
     conjecture
    0.81
     unexpl
    0.77
     similarities
    0.77
     misinformation
    0.75
     fascinating
    0.74
     nuance
    0.71
     intric
    0.70
     uncertainties
    0.69
     glean
    0.69
     nuanced
    0.66
    Activations Density 0.214%

    No Known Activations