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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. 31296
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    INDEX
    Explanations

    references related to military and Pentagon operations

    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
    288
    +0.17
    1.1%
    447
    +0.17
    1.1%
    200
    +0.08
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    269
    +0.17
    0.05
    461
    +0.17
    0.07
    288
    +0.08
    0.18
    Negative Logits
    Interstitial
    -0.60
    gger
    -0.56
    PER
    -0.54
    Redd
    -0.53
    lihood
    -0.50
    âĸ¬âĸ¬
    -0.49
    cause
    -0.49
    à
    -0.49
    bleacher
    -0.47
    Brave
    -0.47
    POSITIVE LOGITS
     Papers
    0.79
     Pentagon
    0.64
    arium
    0.58
     brass
    0.55
     annex
    0.55
     bureaucracy
    0.54
     scraps
    0.52
     contractors
    0.52
    selage
    0.50
    adden
    0.50
    Activations Density 7.615%

    No Known Activations