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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 E2E Recon
    9. 6-RES_SCEFR-AJT
    11. 8644
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    Explanations

    phrases related to playing sports, particularly football and basketball

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scefr-ajt/6-res_scefr-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
    11
    +0.17
    0.5%
    216
    +0.16
    0.5%
    582
    +0.15
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    761
    +0.17
    0.06
    582
    +0.16
    0.05
    70
    +0.15
    0.06
    Negative Logits
     Beir
    -1.00
    İ
    -0.99
    icity
    -0.94
    izontal
    -0.89
    icon
    -0.88
    Ĭ±
    -0.87
    udeau
    -0.87
     proliferation
    -0.86
    gencies
    -0.86
    --------------------------------
    -0.85
    POSITIVE LOGITS
    wright
    1.55
    imony
    1.34
    testing
    1.19
    tested
    1.16
    ername
    1.15
    igraph
    1.09
    testers
    1.09
     played
    1.05
    maker
    1.03
    OTA
    0.99
    Activations Density 0.804%

    No Known Activations