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    1. Home
    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. 40304
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    keywords related to space shuttles and astronauts

    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
    582
    +0.14
    0.7%
    288
    +0.11
    0.6%
    240
    +0.10
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    709
    +0.14
    0.15
    442
    +0.11
    0.10
    582
    +0.10
    0.06
    Negative Logits
    uria
    -0.83
    atana
    -0.74
    ahu
    -0.64
    ushima
    -0.63
    afort
    -0.62
    agog
    -0.61
    iji
    -0.61
    cius
    -0.61
     mathemat
    -0.61
    uries
    -0.60
    POSITIVE LOGITS
     Challenger
    0.70
     shuttle
    0.62
    cock
    0.61
    bay
    0.60
    worth
    0.59
    bugs
    0.59
     Hoo
    0.59
    zee
    0.58
    pool
    0.57
    pod
    0.57
    Activations Density 8.438%

    No Known Activations