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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
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    information related to Elon Musk, SpaceX, Tesla, and rockets

    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
    589
    +0.05
    0.5%
    269
    +0.04
    0.5%
    167
    +0.04
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    288
    +0.05
    0.07
    343
    +0.04
    0.04
    224
    +0.04
    0.04
    Negative Logits
    yna
    -0.32
    ologne
    -0.28
    english
    -0.28
    Va
    -0.27
     Vatican
    -0.27
    cutting
    -0.26
    itutes
    -0.26
     penetrating
    -0.26
    phthal
    -0.26
    inals
    -0.25
    POSITIVE LOGITS
     Musk
    0.62
     Elon
    0.40
    auga
    0.33
    imov
    0.33
     Hots
    0.32
    ¯¯¯¯¯¯¯¯
    0.31
     McH
    0.30
    Ŀ
    0.30
    aton
    0.30
    zee
    0.29
    Activations Density 0.383%

    No Known Activations