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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. 36570
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    Explanations

    sports-related terms and names

    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
    202
    +0.11
    0.5%
    228
    +0.10
    0.4%
    151
    +0.10
    0.4%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    659
    +0.11
    0.15
    314
    +0.10
    -0.03
    232
    +0.10
    0.12
    Negative Logits
    schild
    -1.15
     Gutenberg
    -0.86
     Shant
    -0.82
    milo
    -0.79
     Kissinger
    -0.76
    olkien
    -0.75
     Gupta
    -0.74
     Duterte
    -0.73
    tumblr
    -0.73
     pseud
    -0.72
    POSITIVE LOGITS
     Wolves
    1.12
     Panthers
    1.11
     Falcons
    1.10
     Bucs
    1.10
    hawks
    1.08
     Athletic
    1.07
     Devils
    1.06
     Stadium
    1.05
     playoff
    1.04
     Packers
    1.04
    Activations Density 10.583%

    No Known Activations