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    1. Home
    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. 32974
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    INDEX
    Explanations

    physical barriers or obstacles

    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
    +0.16
    0.8%
    497
    +0.15
    0.7%
    67
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    636
    +0.16
    0.07
    362
    +0.15
    0.11
    35
    +0.10
    0.06
    Negative Logits
     leaps
    -0.69
     Parables
    -0.65
    verty
    -0.65
    amara
    -0.64
    negie
    -0.63
    gars
    -0.62
    nah
    -0.62
    ãĥ¼ãĤ¯
    -0.61
    ller
    -0.61
    imbabwe
    -0.60
    POSITIVE LOGITS
     airspace
    0.82
     entrances
    0.80
     throats
    0.79
     perimeter
    0.74
     arteries
    0.74
     entrance
    0.73
     freeway
    0.72
    creen
    0.72
     borders
    0.70
     entry
    0.70
    Activations Density 14.029%

    No Known Activations