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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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    Explanations

    the word "who" and variations of it in various contexts, indicating a focus on identity and relationships

    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
    427
    +0.13
    0.7%
    408
    +0.12
    0.6%
    44
    +0.11
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    485
    +0.13
    0.12
    486
    +0.12
    0.12
    387
    +0.11
    0.10
    Negative Logits
    oused
    -1.63
    êt
    -1.57
     ease
    -1.56
     doubt
    -1.53
    abel
    -1.49
    abbing
    -1.46
     Fib
    -1.45
    ée
    -1.45
     hover
    -1.43
     easy
    -1.43
    POSITIVE LOGITS
     admissions
    1.70
    aries
    1.54
    omers
    1.52
     públic
    1.50
     loved
    1.46
     discharged
    1.42
     administr
    1.41
     owed
    1.39
     shares
    1.38
     trains
    1.36
    Activations Density 0.128%

    No Known Activations