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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. 45489
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    INDEX
    Explanations

    words related to different areas such as sports contracts, marine conservation, love, and celestial bodies

    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
    530
    +0.16
    0.6%
    470
    +0.12
    0.4%
    641
    +0.11
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    709
    +0.16
    0.11
    641
    +0.12
    0.10
    530
    +0.11
    0.05
    Negative Logits
    channelAvailability
    -0.78
     causation
    -0.77
     confines
    -0.74
    OPLE
    -0.72
     CPC
    -0.72
     goats
    -0.71
     spat
    -0.71
     responsibility
    -0.70
     sanity
    -0.67
     wrath
    -0.67
    POSITIVE LOGITS
    leck
    1.04
    ratulations
    1.02
    Wan
    1.02
    wald
    0.96
    uary
    0.94
    aqu
    0.93
    worldly
    0.90
    orio
    0.88
    lette
    0.86
    thal
    0.85
    Activations Density 8.404%

    No Known Activations