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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 E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 8920
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    INDEX
    Explanations

    phrases related to Marvel Studios and superhero movies

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-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
    642
    +0.16
    0.6%
    701
    +0.16
    0.5%
    385
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.16
    0.11
    326
    +0.16
    0.08
    659
    +0.14
    0.07
    Negative Logits
    PER
    -0.88
    QUI
    -0.86
    ×IJ
    -0.85
    ×ŀ
    -0.83
    pering
    -0.83
     TAM
    -0.83
     pige
    -0.82
    vard
    -0.82
    ference
    -0.82
     habitual
    -0.81
    POSITIVE LOGITS
     Comics
    1.34
    ous
    1.28
    ously
    1.11
     Hogan
    1.11
    ulla
    1.09
    buster
    1.08
     superheroes
    1.05
     Knights
    1.03
    acebook
    1.02
     Studios
    1.01
    Activations Density 1.486%

    No Known Activations