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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. 37049
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    Explanations

    topics related to hydrothermal features and power generation, especially related to hydroelectricity

    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
    288
    +0.12
    0.6%
    149
    +0.10
    0.5%
    503
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    269
    +0.12
    0.04
    115
    +0.10
    0.07
    326
    +0.09
    0.19
    Negative Logits
     Breed
    -0.75
    lihood
    -0.70
     Cardinals
    -0.67
     Advent
    -0.67
     Keen
    -0.65
     Warm
    -0.64
    uary
    -0.61
     Chamberlain
    -0.60
     Chance
    -0.60
    endor
    -0.60
    POSITIVE LOGITS
    cephal
    0.99
    electric
    0.99
    carbon
    0.98
    chlor
    0.97
    xy
    0.95
    plates
    0.85
    static
    0.84
    plate
    0.82
    mel
    0.82
    perty
    0.79
    Activations Density 6.693%

    No Known Activations