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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. 26599
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    INDEX
    Explanations

    quantitative descriptions about weight and size

    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
    513
    +0.11
    0.5%
    633
    +0.10
    0.4%
    418
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    678
    +0.11
    0.06
    260
    +0.10
    0.06
    570
    +0.09
    0.01
    Negative Logits
     Opportun
    -0.87
    Gate
    -0.84
     Neighbor
    -0.79
     Codes
    -0.77
    seek
    -0.74
     Bye
    -0.74
    Bridge
    -0.73
    Ü
    -0.73
     pathways
    -0.71
     Mosque
    -0.70
    POSITIVE LOGITS
     weights
    1.82
     kilograms
    1.78
     weight
    1.78
     pounds
    1.73
     weighs
    1.72
     weighing
    1.71
     weigh
    1.70
     weighed
    1.70
     kg
    1.65
     lbs
    1.64
    Activations Density 1.326%

    No Known Activations