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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 Local
    9. 6-RES_SCL-AJT
    11. 4985
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    Explanations

    phrases related to sports teams and their activities, such as announcements, lineup descriptions, performance evaluations, and trade discussions

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    neuronpedia/gpt2-small__res_scl-ajt/6-res_scl-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
    447
    +0.29
    1.2%
    438
    +0.14
    0.6%
    652
    +0.12
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    160
    +0.29
    0.14
    6
    +0.14
    0.11
    745
    +0.12
    -0.09
    Negative Logits
    tml
    -0.98
     drip
    -0.90
    ranging
    -0.84
    dit
    -0.81
    tain
    -0.81
    sight
    -0.77
    fect
    -0.76
    pire
    -0.76
    imentary
    -0.75
     Maw
    -0.71
    POSITIVE LOGITS
     mates
    1.02
     captain
    0.97
    members
    0.92
    rons
    0.90
    liquid
    0.89
    mates
    0.89
     mascot
    0.88
     coached
    0.83
     captains
    0.81
     mate
    0.79
    Activations Density 6.943%

    No Known Activations