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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. 3739
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    Explanations

    technical or academic text discussing potential, risk, benefits, and challenges 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
    +0.19
    0.7%
    622
    +0.14
    0.5%
    151
    +0.11
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    442
    +0.19
    0.07
    160
    +0.14
    0.14
    622
    +0.11
    0.05
    Negative Logits
    ĪĴ
    -0.90
    cipline
    -0.89
    cloth
    -0.87
    ogie
    -0.84
    bows
    -0.84
    ograph
    -0.82
    cise
    -0.81
    gaard
    -0.81
    chet
    -0.80
    otle
    -0.79
    POSITIVE LOGITS
    ities
    1.02
     usefulness
    0.99
    ibilities
    0.95
     pitfalls
    0.92
    izons
    0.91
    atility
    0.91
     future
    0.90
     implications
    0.88
     hazards
    0.87
     futures
    0.86
    Activations Density 7.410%

    No Known Activations