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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
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    Explanations

    information about high-end products and technologies, specifically focusing on watches, keyboards, smartphones, cameras, and firearms

    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
    +0.28
    1.3%
    288
    +0.10
    0.5%
    244
    +0.09
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    167
    +0.28
    -0.01
    343
    +0.10
    0.12
    288
    +0.09
    0.22
    Negative Logits
    skip
    -0.67
     Telegram
    -0.65
    encia
    -0.64
    ocamp
    -0.63
    andum
    -0.63
    lishes
    -0.63
    uca
    -0.63
    dL
    -0.61
    uality
    -0.61
    rious
    -0.60
    POSITIVE LOGITS
     designs
    0.92
     manufacturer
    0.92
     designer
    0.91
     maker
    0.90
     prototypes
    0.89
    maker
    0.87
     accessories
    0.86
     costing
    0.84
     manufacturers
    0.84
     specs
    0.83
    Activations Density 10.531%

    No Known Activations