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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. 36274
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    Explanations

    keywords related to the petroleum industry and its various aspects, including consumption, production, environmental impacts, and geopolitical influences

    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
    578
    +0.11
    0.6%
    739
    +0.10
    0.5%
    570
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.11
    0.22
    326
    +0.10
    0.20
    578
    +0.09
    0.06
    Negative Logits
    iking
    -0.63
    itability
    -0.60
    icated
    -0.60
    ells
    -0.58
    itable
    -0.58
    rawn
    -0.57
    ems
    -0.56
    ows
    -0.55
    ared
    -0.55
    sheets
    -0.54
    POSITIVE LOGITS
    roleum
    0.80
    cules
    0.72
    =-=-=-=-
    0.68
     petroleum
    0.61
     Petroleum
    0.60
     jelly
    0.58
     Petro
    0.57
    rior
    0.56
     absor
    0.56
    ulic
    0.56
    Activations Density 6.839%

    No Known Activations