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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
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    9. 6-RES_SCL-AJT
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    Explanations

    pharmaceutical terms, including drug names and pharmacy-related information

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    288
    +0.14
    0.7%
    508
    +0.13
    0.6%
    578
    +0.13
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    578
    +0.14
    0.04
    46
    +0.13
    0.07
    4
    +0.13
    0.09
    Negative Logits
    semble
    -0.78
    swick
    -0.68
     Mavericks
    -0.68
     Hornets
    -0.66
    footed
    -0.66
     Dirk
    -0.65
    bear
    -0.64
    UAL
    -0.64
     Lightning
    -0.64
    Bird
    -0.63
    POSITIVE LOGITS
    aceutical
    1.27
     Pharmaceutical
    0.96
     Pharm
    0.91
     pharmacies
    0.90
     pharmac
    0.86
    osate
    0.85
     Laboratories
    0.84
     pharmaceutical
    0.83
     pharmacy
    0.83
    utical
    0.82
    Activations Density 7.886%

    No Known Activations