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    1. Home
    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Residual Post - 32k
    5. 10-RES_POST_32K-OAI
    6. 26256
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    INDEX
    Explanations

    expressions indicating quantity or abundance

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Neuron Alignment
    Index
    Value
    % of L₁
    373
    +0.14
    0.6%
    92
    +0.10
    0.4%
    398
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    8
    +0.14
    0.04
    449
    +0.10
    0.03
    92
    +0.09
    0.02
    Negative Logits
     Princ
    -0.64
     culp
    -0.64
     resemb
    -0.62
    ensor
    -0.61
     coerc
    -0.60
     disadvantage
    -0.57
     parallels
    -0.57
     Thib
    -0.57
     segreg
    -0.57
     Borders
    -0.56
    POSITIVE LOGITS
     much
    1.00
     MUCH
    0.99
     more
    0.92
    much
    0.88
     MORE
    0.85
    More
    0.79
    more
    0.78
    ier
    0.77
    everything
    0.73
     else
    0.71
    Activations Density 0.732%

    No Known Activations