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    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. 13512
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    names of hockey teams

    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
    515
    +0.10
    0.5%
    706
    +0.09
    0.5%
    351
    +0.09
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.10
    0.21
    288
    +0.09
    0.21
    659
    +0.09
    0.09
    Negative Logits
    tons
    -0.68
    é¾įåĸļ士
    -0.64
    ername
    -0.63
    phone
    -0.59
    colo
    -0.57
    plot
    -0.56
     Fighter
    -0.56
    farm
    -0.56
    friend
    -0.56
    office
    -0.55
    POSITIVE LOGITS
     Oilers
    1.01
    monton
    0.72
    eger
    0.69
    Kings
    0.66
    gom
    0.65
     Esk
    0.63
    âĹ¼
    0.61
    itious
    0.60
    phies
    0.58
    uating
    0.57
    Activations Density 7.310%

    No Known Activations