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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. 28217
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    Explanations

    phrases that reference specific products or brands, particularly in a consumer context

    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
    494
    +0.12
    0.6%
    131
    +0.10
    0.5%
    12
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    232
    +0.12
    0.03
    659
    +0.10
    0.02
    97
    +0.10
    0.01
    Negative Logits
    gow
    -0.96
    terday
    -0.91
    gm
    -0.86
    say
    -0.83
    NEY
    -0.80
    nn
    -0.80
    76561
    -0.80
    ":""},{"
    -0.79
    gart
    -0.79
    xon
    -0.79
    POSITIVE LOGITS
     Redux
    0.72
     Compatibility
    0.71
     Enhance
    0.67
     React
    0.66
     Enhancement
    0.65
     Revolution
    0.65
     Plugin
    0.64
     Project
    0.64
     Patel
    0.64
     Equip
    0.63
    Activations Density 0.199%

    No Known Activations