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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE Local
    9. 6-RES_SCL-AJT
    11. 37045
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    INDEX
    Explanations

    mentions of the word "shipping"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-ajt
    Prompts (Dashboard)
    12,288 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    46,080
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    apollo-research/Skylion007-openwebtext-tokenizer-gpt2
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.21
    0.9%
    318
    +0.11
    0.5%
    288
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    563
    +0.21
    0.10
    327
    +0.11
    0.09
    189
    +0.10
    0.06
    Negative Logits
    atives
    -0.79
     Glas
    -0.78
    nered
    -0.77
    si
    -0.74
    cheon
    -0.74
    enhagen
    -0.72
    nor
    -0.71
    anooga
    -0.71
    ivas
    -0.69
    ibur
    -0.69
    POSITIVE LOGITS
     containers
    0.95
    wreck
    0.93
    mith
    0.91
     Yamato
    0.90
     shipped
    0.83
     SEAL
    0.82
    shape
    0.80
     shipping
    0.80
     Shipping
    0.80
     container
    0.74
    Activations Density 7.105%

    No Known Activations