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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. 28210
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    Explanations

    the word "for" and its frequency in various contexts

    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
    314
    +0.13
    0.6%
    143
    +0.10
    0.5%
    674
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    608
    +0.13
    0.06
    362
    +0.10
    0.05
    609
    +0.10
    0.05
    Negative Logits
    urus
    -0.71
    UES
    -0.60
    SourceFile
    -0.59
    GBT
    -0.58
     Detected
    -0.58
     Compass
    -0.55
     Factors
    -0.54
     invocation
    -0.53
     Reloaded
    -0.53
    urate
    -0.53
    POSITIVE LOGITS
     sale
    0.98
    gettable
    0.90
    going
    0.85
    sold
    0.83
    ked
    0.80
    lined
    0.80
    gotten
    0.78
    playing
    0.78
    ickle
    0.76
    rated
    0.74
    Activations Density 0.430%

    No Known Activations