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    1. Home
    2. OpenAI · Sparse Autoencoder for GPT2-Small - v5 2024
    3. GPT2-Small
    4. Residual Post - 32k
    5. 6-RES_POST_32K-OAI
    6. 4227
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    Explanations

    specific identifiers and numerical values associated with data in a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res_post_32k-oai
    Configuration
    jbloom/GPT2-Small-OAI-v5-32k-resid-post-SAEs/v5_32k_layer_6.pt
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    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
    506
    +0.10
    0.5%
    545
    +0.10
    0.5%
    346
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    176
    +0.10
    0.05
    326
    +0.10
    0.06
    314
    +0.09
    0.00
    Negative Logits
     attm
    -0.70
    ó
    -0.70
     reconc
    -0.67
    ictional
    -0.67
    sonian
    -0.62
    ologically
    -0.62
    lightly
    -0.61
    76561
    -0.61
    minist
    -0.61
     compliments
    -0.60
    POSITIVE LOGITS
    \":
    0.69
     Droid
    0.67
    oise
    0.65
    rador
    0.65
     Haste
    0.65
     Shuttle
    0.63
     Atlantis
    0.62
     Tile
    0.62
     ..............
    0.61
     Ogre
    0.61
    Activations Density 0.498%

    No Known Activations