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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. 34941
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    Explanations

    events, locations, and keywords related to Toronto, such as sports teams, airports, and notable individuals

    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
    +0.22
    1.0%
    240
    +0.12
    0.5%
    554
    +0.11
    0.5%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    133
    +0.22
    0.07
    10
    +0.12
    0.07
    709
    +0.11
    0.09
    Negative Logits
    mble
    -0.93
    hardt
    -0.90
    icio
    -0.83
    ultan
    -0.82
    bler
    -0.81
    esson
    -0.80
    ktop
    -0.79
    acebook
    -0.79
    ãĤ©
    -0.79
    ulative
    -0.77
    POSITIVE LOGITS
     Argon
    0.99
     Raptors
    0.97
     Maple
    0.95
     Harbour
    0.93
     Heights
    0.93
     FC
    0.82
     Centre
    0.80
     Hydro
    0.75
     Lights
    0.74
     skyline
    0.74
    Activations Density 6.113%

    No Known Activations