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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. 31060
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    Explanations

    references to running backs in the context of football

    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
    373
    +0.13
    0.6%
    473
    +0.10
    0.4%
    220
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    505
    +0.13
    0.03
    460
    +0.10
    0.03
    761
    +0.10
    0.03
    Negative Logits
    ulin
    -0.71
    NetMessage
    -0.70
    xit
    -0.68
    ILE
    -0.67
    IFIED
    -0.66
     Ion
    -0.65
    ILS
    -0.65
     Inform
    -0.65
    ail
    -0.65
     Concent
    -0.64
    POSITIVE LOGITS
     lanes
    0.76
     mate
    0.73
     backs
    0.72
    mer
    0.69
     chops
    0.67
     lane
    0.66
    ready
    0.66
     scored
    0.63
    swick
    0.63
     scorer
    0.62
    Activations Density 0.472%

    No Known Activations