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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. 6724
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    Explanations

    the word "which" and its variations in usage

    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
    209
    +0.09
    0.4%
    695
    +0.09
    0.4%
    91
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    109
    +0.09
    0.06
    655
    +0.09
    0.05
    209
    +0.09
    0.05
    Negative Logits
    etheless
    -0.70
    ulla
    -0.70
    perty
    -0.67
    ãĥ¯ãĥ³
    -0.62
    velop
    -0.60
    ITNESS
    -0.59
    Ń·
    -0.58
    este
    -0.58
    idas
    -0.57
    Ĥİ
    -0.57
    POSITIVE LOGITS
     means
    0.98
     Sounds
    0.94
     sucks
    0.93
    Sounds
    0.86
     sounds
    0.84
     begs
    0.83
    Plus
    0.83
     helps
    0.82
     Means
    0.82
     makes
    0.81
    Activations Density 0.253%

    No Known Activations