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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. 32476
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    Explanations

    patterns or sequences associated with numerical data, particularly focusing on certain numerical values like '99' and '16'

    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
    457
    +0.11
    0.5%
    378
    +0.11
    0.5%
    280
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    153
    +0.11
    0.04
    442
    +0.11
    0.04
    107
    +0.10
    0.04
    Negative Logits
     eleph
    -0.72
     [+
    -0.68
     DRAG
    -0.68
     âĹı
    -0.67
     Kard
    -0.66
     whiff
    -0.64
     ["
    -0.60
     ÎĶ
    -0.60
     Devi
    -0.59
     McCoy
    -0.59
    POSITIVE LOGITS
    tnc
    0.74
    2019
    0.69
    atom
    0.69
    ucl
    0.66
    nown
    0.66
    chwitz
    0.65
     unfocusedRange
    0.65
    iety
    0.65
     ILCS
    0.65
    windows
    0.65
    Activations Density 0.136%

    No Known Activations