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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. 31767
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    Explanations

    words related to environmental impact, specifically focusing on pollutants and their effects

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating locations or destinations

    oai_token-act-pair · gpt-3.5-turboTriggered by @danbraun
    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
    +0.28
    1.3%
    308
    +0.12
    0.5%
    430
    +0.10
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.28
    0.30
    575
    +0.12
    0.20
    317
    +0.10
    0.14
    Negative Logits
    yssey
    -0.80
    pher
    -0.65
     Klux
    -0.65
    ernel
    -0.65
    uristic
    -0.64
    oute
    -0.64
    emonic
    -0.62
    orian
    -0.62
    orical
    -0.62
    Sym
    -0.59
    POSITIVE LOGITS
     Madness
    0.74
    aturday
    0.72
     onwards
    0.68
     AFB
    0.65
     assemblies
    0.63
     tomorrow
    0.63
     duty
    0.62
    ulkan
    0.61
    prep
    0.60
    rooms
    0.60
    Activations Density 13.729%

    No Known Activations