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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. 5005
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    Explanations

    descriptions or classifications of different types of things, like medical conditions, geometric shapes, human figures, or legal categories

    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
    +0.23
    1.2%
    393
    +0.17
    0.9%
    561
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    393
    +0.23
    0.30
    362
    +0.17
    0.14
    608
    +0.10
    0.20
    Negative Logits
    esses
    -0.67
    arde
    -0.61
    soDeliveryDate
    -0.59
    lund
    -0.57
    lists
    -0.57
    hra
    -0.56
     teasp
    -0.56
    Ô
    -0.56
    oult
    -0.56
     Ahead
    -0.56
    POSITIVE LOGITS
     expression
    0.62
     human
    0.59
     guiActiveUnfocused
    0.58
     linux
    0.57
     fish
    0.55
     contr
    0.54
     animal
    0.54
     dog
    0.54
     specialty
    0.54
     medicine
    0.53
    Activations Density 13.144%

    No Known Activations