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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. 34441
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    Explanations

    the word "meg" or variations of "meg" as it pertains to measurement or names

    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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    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.12
    0.5%
    48
    +0.11
    0.5%
    275
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    161
    +0.12
    0.05
    695
    +0.11
    0.05
    38
    +0.11
    0.07
    Negative Logits
    ãģį
    -0.76
     Grounds
    -0.73
    xual
    -0.72
     Paradox
    -0.72
    eer
    -0.66
    âķIJâķIJ
    -0.66
    velt
    -0.65
     Sense
    -0.65
     condition
    -0.64
     humour
    -0.64
    POSITIVE LOGITS
    abytes
    1.38
    abyte
    1.37
    awatts
    1.18
    apixel
    1.07
    atron
    1.00
    apolis
    0.96
    aton
    0.93
    acity
    0.92
    atis
    0.92
    abases
    0.90
    Activations Density 6.654%

    No Known Activations