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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. 4880
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    INDEX
    Explanations

    information related to health benefits of specific vitamins and minerals

    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
    651
    +0.10
    0.5%
    288
    +0.10
    0.5%
    447
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    285
    +0.10
    0.05
    455
    +0.10
    0.13
    379
    +0.09
    0.10
    Negative Logits
    */(
    -0.72
    fm
    -0.68
    eden
    -0.65
    ker
    -0.63
    rontal
    -0.63
    sett
    -0.62
    eared
    -0.62
    eh
    -0.61
     Photographer
    -0.61
    cms
    -0.60
    POSITIVE LOGITS
     vitamins
    0.89
     vitamin
    0.89
     Vitamin
    0.88
    rients
    0.86
    ritional
    0.85
    aceous
    0.81
    amins
    0.81
     supplements
    0.75
     iodine
    0.73
     supplementation
    0.71
    Activations Density 8.719%

    No Known Activations