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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. 34898
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    Explanations

    topics or situations that provoke strong reactions of anger or disapproval

    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
    +0.23
    1.5%
    288
    +0.10
    0.6%
    526
    +0.09
    0.6%
    Correlated Neurons
    Index
    P. Corr.
    Cos Sim.
    554
    +0.23
    -0.12
    502
    +0.10
    0.06
    566
    +0.09
    0.09
    Negative Logits
    wagen
    -0.51
    uchin
    -0.50
    ramer
    -0.49
     Solitaire
    -0.48
     counselor
    -0.47
    llan
    -0.45
     cleaner
    -0.45
    ession
    -0.44
    kered
    -0.44
    properties
    -0.44
    POSITIVE LOGITS
    ously
    0.79
    iously
    0.74
     indignation
    0.67
     uproar
    0.58
     outcry
    0.56
    èĥ
    0.53
     outrage
    0.53
     loudly
    0.52
    ingly
    0.50
    storm
    0.50
    Activations Density 11.760%

    No Known Activations