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    3. Apollo Research · Taylor · Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
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    Explanations

    the names of famous athletes

    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
    271
    +0.09
    0.4%
    13
    +0.09
    0.4%
    476
    +0.08
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    284
    +0.09
    0.04
    373
    +0.09
    -0.02
    36
    +0.08
    0.03
    Negative Logits
    ĸļ
    -0.72
    Reviewer
    -0.68
    xon
    -0.60
    Sov
    -0.58
    thur
    -0.57
     Parables
    -0.57
     aloud
    -0.57
    20439
    -0.57
    arios
    -0.56
    }}}
    -0.55
    POSITIVE LOGITS
    ample
    0.70
    inton
    0.67
    IME
    0.63
    imes
    0.61
    ente
    0.61
    abetic
    0.60
    actus
    0.59
    ILA
    0.56
    BUS
    0.55
    aptop
    0.55
    Activations Density 0.194%

    No Known Activations