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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. 10239
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    INDEX
    Explanations

    occurrences of the word "burn" in different contexts

    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
    Neuron Alignment
    Index
    Value
    % of L₁
    326
    +0.22
    0.8%
    288
    +0.19
    0.7%
    375
    +0.12
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.22
    0.07
    288
    +0.19
    0.07
    26
    +0.12
    0.04
    Negative Logits
    DonaldTrump
    -1.06
    alian
    -0.99
    UFC
    -0.94
    ordan
    -0.94
    oral
    -0.92
    egal
    -0.92
    onsense
    -0.91
    ournal
    -0.90
    ilial
    -0.89
    ammad
    -0.88
    POSITIVE LOGITS
    ished
    1.47
    ishing
    1.35
     burn
    1.23
    ishes
    1.20
     burning
    1.20
     hotter
    1.19
    burning
    1.17
     burns
    1.13
    ishment
    1.09
     burned
    1.09
    Activations Density 1.481%

    No Known Activations