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    3. Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
    5. Pythia-70M-Deduped
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    9. 0-MLP-SM
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    INDEX
    Explanations

    the phrase "having" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    ctigges/pythia-70m-deduped__mlp-sm_processed/0-mlp-sm
    Prompts (Dashboard)
    32,768 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    32,768
    Data Type
    torch.float32
    Hook Name
    blocks.0.hook_mlp_out
    Hook Layer
    0
    Architecture
    standard
    Context Size
    128
    Dataset
    EleutherAI/the_pile_deduplicated
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    478
    +0.15
    0.9%
    376
    +0.15
    0.9%
    393
    +0.12
    0.7%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    204
    +0.15
    0.05
    393
    +0.15
    0.04
    337
    +0.12
    0.04
    Negative Logits
    Ļª
    -3.57
    ĸ´
    -2.95
    £
    -2.88
    ¨
    -2.84
    ľ
    -2.81
    ł
    -2.75
    ¡
    -2.70
    Ĺ
    -2.66
    ĨĴ
    -2.63
    ī
    -2.63
    POSITIVE LOGITS
    orkshire
    1.66
    von
    1.54
    jel
    1.49
    wk
    1.46
    lycer
    1.41
     msgid
    1.41
    Aye
    1.33
     parental
    1.32
    ww
    1.29
    FPar
    1.27
    Activations Density 0.407%

    No Known Activations