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    1. Home
    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Residual Post - 32k
    5. 10-RES_POST_32K-OAI
    6. 26330
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    INDEX
    Explanations

    references to various categories and classifications

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Neuron Alignment
    Index
    Value
    % of L₁
    464
    +0.12
    0.5%
    661
    +0.10
    0.5%
    373
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    156
    +0.12
    0.05
    455
    +0.10
    0.08
    255
    +0.10
    0.07
    Negative Logits
     Peng
    -0.90
     Roose
    -0.87
    wark
    -0.79
     Pesh
    -0.79
    Lee
    -0.78
    PIN
    -0.77
     Ripple
    -0.76
    hire
    -0.75
     Flore
    -0.75
     Johannes
    -0.72
    POSITIVE LOGITS
     category
    2.34
     categories
    2.27
     Category
    2.09
    Category
    2.05
    category
    2.05
     Categories
    1.97
    ategories
    1.69
     categor
    1.65
    ategor
    1.64
     categorized
    1.61
    Activations Density 2.240%

    No Known Activations