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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. 31686
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    Explanations

    terms related to different types of materials, particularly steel

    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
    Not in Any Lists

    No Comments

    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.18
    0.8%
    326
    +0.14
    0.6%
    288
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.18
    0.18
    288
    +0.14
    0.18
    99
    +0.12
    0.08
    Negative Logits
    uate
    -0.85
    sembly
    -0.83
     Kard
    -0.75
    romeda
    -0.73
    itia
    -0.70
    aminer
    -0.69
    olulu
    -0.69
    etheless
    -0.68
    apter
    -0.67
     Niet
    -0.66
    POSITIVE LOGITS
    Series
    1.13
     wool
    1.12
    works
    1.03
    workers
    1.02
    worker
    0.93
     beams
    0.90
    fish
    0.89
    steel
    0.87
     oxide
    0.86
    anguage
    0.84
    Activations Density 5.137%

    No Known Activations