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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. 31170
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    INDEX
    Explanations

    words related to natural disasters, especially floods, and the resulting human impacts and responses

    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
    Neuron Alignment
    Index
    Value
    % of L₁
    447
    +0.20
    0.9%
    288
    +0.12
    0.5%
    99
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    608
    +0.20
    0.16
    3
    +0.12
    0.06
    362
    +0.11
    0.09
    Negative Logits
    ccording
    -0.87
    achev
    -0.75
    istrate
    -0.72
    pport
    -0.72
    cius
    -0.71
    nesota
    -0.71
    axter
    -0.70
    atel
    -0.69
    ooth
    -0.69
    ando
    -0.69
    POSITIVE LOGITS
    waters
    1.14
     Flood
    1.04
     flood
    0.96
     waters
    0.94
    lighting
    0.92
     Katrina
    0.90
     flooding
    0.89
    lights
    0.89
     plains
    0.84
     inund
    0.83
    Activations Density 9.429%

    No Known Activations