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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. 4393
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    Explanations

    references to specific technical terms or acronyms, such as 'MB' or 'GP', that are commonly used in a technical or specialized context

    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    268
    +0.12
    0.5%
    503
    +0.11
    0.5%
    679
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    471
    +0.12
    0.06
    1
    +0.11
    0.06
    268
    +0.11
    0.02
    Negative Logits
    coni
    -0.83
    zona
    -0.75
    apons
    -0.73
    ãĥīãĥ©ãĤ´ãĥ³
    -0.69
    ources
    -0.67
    Interstitial
    -0.67
    aways
    -0.66
    ãĥ³ãĤ¸
    -0.66
    Ò
    -0.63
    xit
    -0.62
    POSITIVE LOGITS
    iotic
    1.04
    uild
    1.01
    edded
    1.00
    ilib
    0.97
    iosis
    0.94
    iotics
    0.92
    odies
    0.90
    olicy
    0.89
    illion
    0.86
    arrass
    0.82
    Activations Density 5.324%

    No Known Activations