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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
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    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
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    Neuron Alignment
    Index
    Value
    % of L₁
    178
    +0.13
    0.5%
    476
    +0.12
    0.4%
    373
    +0.11
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    326
    +0.13
    0.04
    268
    +0.12
    0.02
    659
    +0.11
    0.03
    Negative Logits
    ãĥ¯ãĥ³
    -0.95
    chief
    -0.90
    ãĥ³ãĤ¸
    -0.88
    ãĥĹ
    -0.88
    rem
    -0.86
    qua
    -0.85
    opol
    -0.85
    ãĥ
    -0.84
    lik
    -0.83
    strate
    -0.82
    POSITIVE LOGITS
    INGTON
    1.14
    oyd
    1.02
    UTION
    0.98
    uminati
    0.92
    aughter
    0.91
    aturday
    0.91
    iban
    0.89
    ING
    0.86
    BACK
    0.85
    INGS
    0.85
    Activations Density 0.296%

    No Known Activations