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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. 31464
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    Explanations

    references to starting positions or roles in various contexts, particularly related to sports

    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
    401
    +0.12
    0.5%
    160
    +0.10
    0.5%
    563
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    438
    +0.12
    0.02
    735
    +0.10
    0.02
    339
    +0.09
    0.02
    Negative Logits
    romeda
    -0.76
    selves
    -0.73
    irlf
    -0.73
    greg
    -0.73
    ynt
    -0.72
    leys
    -0.70
    rup
    -0.68
    asus
    -0.67
    ornings
    -0.67
    ripp
    -0.66
    POSITIVE LOGITS
     lineup
    1.06
     XI
    0.96
     berth
    0.89
     caliber
    0.85
     pitcher
    0.84
     goaltender
    0.82
     goalie
    0.81
     quarterback
    0.79
     intentions
    0.75
     pistol
    0.73
    Activations Density 0.255%

    No Known Activations