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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. 6632
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    Explanations

    commas and various quantified statements, indicating lists or numerical data

    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
    373
    +0.12
    0.5%
    654
    +0.10
    0.4%
    500
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    546
    +0.12
    0.07
    43
    +0.10
    0.07
    765
    +0.09
    0.06
    Negative Logits
    à¼
    -0.95
    ById
    -0.85
    otin
    -0.84
    azo
    -0.83
    opsis
    -0.73
    bably
    -0.71
    \/
    -0.68
    rompt
    -0.67
    lihood
    -0.66
    apt
    -0.66
    POSITIVE LOGITS
     Superintendent
    0.88
     Commissioner
    0.78
     Principal
    0.77
     historian
    0.76
     publisher
    0.74
     Assistant
    0.74
     officials
    0.73
     Guinness
    0.72
     broadcaster
    0.72
     Chief
    0.72
    Activations Density 0.338%

    No Known Activations