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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

    references to law enforcement and police activities

    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
    156
    +0.16
    0.9%
    173
    +0.15
    0.9%
    228
    +0.10
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    173
    +0.16
    0.04
    476
    +0.15
    0.03
    229
    +0.10
    0.03
    Negative Logits
    ĥ½
    -3.18
    <|outofrange|>
    -2.99
    ↵
    -2.99
    č↵
    -2.99
    <|outofrange|>
    -2.99
    č↵
    -2.99
    -2.99
    -2.99
    ↵
    -2.99
    ↵  ³³³
    -2.98
    POSITIVE LOGITS
    pieces
    1.74
    craft
    1.65
    iplinary
    1.53
    iencies
    1.50
    films
    1.49
     affairs
    1.49
    ÃŃs
    1.47
    erad
    1.47
    hip
    1.46
    unov
    1.45
    Activations Density 0.039%

    No Known Activations