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    1. Home
    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
    5. GPT2-Small
    7. Residual Similar CE E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 2039
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    words related to needs and requirements

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-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
    540
    +0.15
    0.5%
    224
    +0.15
    0.5%
    651
    +0.14
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    540
    +0.15
    0.11
    575
    +0.15
    0.09
    509
    +0.14
    0.06
    Negative Logits
    ipel
    -0.92
    amn
    -0.91
    assad
    -0.91
    ģ«
    -0.89
    olson
    -0.86
    aughed
    -0.86
    oba
    -0.85
    cise
    -0.82
    entimes
    -0.81
    ocular
    -0.79
    POSITIVE LOGITS
     fulfilled
    1.16
    omething
    1.11
     requirements
    1.06
    igslist
    1.05
     expectations
    1.05
     demands
    1.04
     demanded
    0.93
    plates
    0.89
     needs
    0.87
     dictated
    0.86
    Activations Density 1.575%

    No Known Activations