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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. 32773
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    Explanations

    mentions of specific meals and meal-related actions in various contexts

    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
    +0.21
    1.0%
    255
    +0.12
    0.6%
    575
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    651
    +0.21
    0.13
    195
    +0.12
    0.01
    575
    +0.10
    0.14
    Negative Logits
    inates
    -0.71
    idency
    -0.71
    ignty
    -0.69
     bluff
    -0.65
    itars
    -0.65
    orate
    -0.63
     Moff
    -0.62
     Jed
    -0.61
    orporated
    -0.57
     Nich
    -0.56
    POSITIVE LOGITS
    worms
    1.22
     meal
    1.03
     meals
    0.97
     Meal
    0.96
    worm
    0.94
     eaten
    0.92
     buffet
    0.85
    mares
    0.84
    winner
    0.74
     breakfast
    0.74
    Activations Density 6.600%

    No Known Activations