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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. 34715
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    Explanations

    information related to ice hockey, particularly focusing on player performance and team dynamics

    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
    48
    +0.11
    0.5%
    201
    +0.11
    0.5%
    578
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    538
    +0.11
    0.07
    433
    +0.11
    0.08
    201
    +0.11
    0.08
    Negative Logits
    ibility
    -0.75
    atra
    -0.73
     GOODMAN
    -0.72
    ible
    -0.69
    combe
    -0.66
    iannopoulos
    -0.64
    quer
    -0.62
    bos
    -0.62
    Virgin
    -0.62
    aba
    -0.62
    POSITIVE LOGITS
     rink
    1.09
    ipeg
    1.02
     defenseman
    0.90
     hockey
    0.86
     puck
    0.86
     goalie
    0.85
     goaltender
    0.84
     linem
    0.79
    sburgh
    0.79
     goalt
    0.78
    Activations Density 11.181%

    No Known Activations