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    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. 36895
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    Explanations

    phrases related to pension funds and retirement plans in economic and political contexts

    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
    +0.20
    1.1%
    288
    +0.15
    0.8%
    575
    +0.11
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    453
    +0.20
    0.08
    754
    +0.15
    0.07
    288
    +0.11
    0.17
    Negative Logits
    selves
    -0.61
    ãĤ®
    -0.57
     simultane
    -0.56
    âĸ¬
    -0.56
    iPhone
    -0.55
    oks
    -0.55
     Sina
    -0.53
    pox
    -0.53
    combe
    -0.52
    iesta
    -0.52
    POSITIVE LOGITS
     pension
    0.73
    ers
    0.71
     pensions
    0.70
     Pension
    0.68
    fman
    0.67
    itionally
    0.65
     dues
    0.63
    enser
    0.62
    er
    0.62
    rats
    0.62
    Activations Density 6.865%

    No Known Activations