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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. 35361
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    INDEX
    Explanations

    descriptions or uses of specific chemical elements or compounds, particularly copper

    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
    447
    +0.15
    0.8%
    288
    +0.10
    0.5%
    385
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    740
    +0.15
    0.12
    556
    +0.10
    0.10
    99
    +0.10
    0.10
    Negative Logits
     Kard
    -0.71
     Polk
    -0.69
     Nurs
    -0.68
    utt
    -0.68
    zee
    -0.67
     Aid
    -0.65
    NEY
    -0.65
    LER
    -0.64
    stretched
    -0.63
    Dispatch
    -0.61
    POSITIVE LOGITS
     oxide
    1.34
     dioxide
    0.98
     chloride
    0.98
     alloy
    0.97
     iod
    0.95
     sulf
    0.94
     ore
    0.93
     flakes
    0.90
     sulph
    0.89
     solder
    0.88
    Activations Density 13.700%

    No Known Activations