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

    the term "sever," particularly in legal or formal 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
    43
    +0.12
    0.7%
    285
    +0.12
    0.7%
    380
    +0.11
    0.7%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    111
    +0.12
    0.01
    380
    +0.12
    0.01
    344
    +0.11
    0.01
    Negative Logits
     yours
    -1.68
    't
    -1.50
     Dawn
    -1.44
     faith
    -1.42
     Faith
    -1.40
    lando
    -1.39
     lean
    -1.37
     todd
    -1.35
     serop
    -1.35
     then
    -1.34
    POSITIVE LOGITS
    ĻĤ
    2.45
    ģ
    2.35
    ↵
    2.27
    2.27
    2.27
    ↵
    2.27
    ↵
    2.27
    2.27
                  ↵
    2.27
    ↵
    2.27
    Activations Density 0.009%

    No Known Activations