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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. 27550
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    INDEX
    Explanations

    various types of items and their quantities in a context related to preparation or logistics

    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
    613
    +0.09
    0.4%
    373
    +0.09
    0.4%
    65
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    393
    +0.09
    0.09
    678
    +0.09
    0.06
    408
    +0.09
    0.09
    Negative Logits
    AME
    -0.69
    "]=>
    -0.68
    inventoryQuantity
    -0.68
    ãĥ³ãĤ¸
    -0.67
    ãĥİ
    -0.66
    displayText
    -0.63
    DragonMagazine
    -0.62
    oshi
    -0.61
    èª
    -0.61
     WARN
    -0.60
    POSITIVE LOGITS
     two
    1.26
     some
    1.16
     several
    1.16
     a
    1.14
     an
    1.13
     three
    1.10
     another
    1.10
     assorted
    1.06
     four
    1.04
     five
    0.97
    Activations Density 1.057%

    No Known Activations