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    1. Home
    2. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    3. GPT2-Small
    4. Residual Similar CE Local
    5. 6-RES_SCL-AJT
    6. 4400
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    Explanations

    various snippets of code and text related to programming, including terms like "SQL", "Node", "React", "CPU", "registers", "assembly", "Go", "compiler", "scaffolding", "dependencies", "method", "parameters", "variables", "channels", "sync

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.23
    1.3%
    679
    +0.10
    0.5%
    662
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    566
    +0.23
    0.16
    551
    +0.10
    0.13
    128
    +0.09
    0.11
    Negative Logits
     ashes
    -0.57
     polio
    -0.57
    Times
    -0.56
    Hours
    -0.54
     Notting
    -0.54
    76561
    -0.54
    TY
    -0.52
     Typhoon
    -0.52
     Newsp
    -0.51
     Britann
    -0.50
    POSITIVE LOGITS
     assume
    0.78
    ird
    0.78
    aves
    0.75
     automate
    0.74
     initialize
    0.71
     configure
    0.70
    eding
    0.70
    're
    0.69
    arers
    0.69
     need
    0.68
    Activations Density 9.462%

    No Known Activations